software developer Jobs in Europe

Senior Distributed Systems Engineer - Remote Work

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting‑edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. We’re looking for a Senior Distributed Systems Engineer who understands the mechanics of how large‑scale data processing systems actually work. You write Java or Scala, you’ve worked on stream or batch processing infrastructure, and you know how to reason about what happens when distributed systems are under load. You’ll be contributing to open source data platform technology that leading enterprises rely on to process and move critical data — work that rewards both systems thinking and careful engineering. What You’ll Do: Design and implement distributed system components in Java or Scala for large-scale data processing infrastructure. Work on stream and batch processing systems, ensuring they move data reliably and efficiently at scale. Apply distributed systems principles to solve problems around fault tolerance, consistency, and throughput. Leverage JVM performance knowledge to diagnose and address processing bottlenecks in production. Collaborate with data and platform engineering teams to deliver distributed solutions that meet real-world requirements. Contribute to code reviews, engineering standards, and technical discussions across the team. What We Are Looking For: 5+ years of experience in IT roles. 3+ years of experience building distributed systems with Java or Scala as the primary language. Strong foundation in distributed data processing design and operation. Experience with stream or batch processing frameworks and large-scale pipeline infrastructure. Solid understanding of JVM performance fundamentals. Open source contribution experience is a plus. Advanced proficiency in English. How we do make your work (and your life) easier: Remote Work. Excellent compensation in USD or your local currency if preferred. Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! #J-18808-Ljbffr

Mechanical Design Engineer - Robotics

Who We Are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership so that open societies can continue to make sovereign decisions and control their ethical standards. The role As a Mechanical Design Engineer, you will play a key role in the design and development of our robots. You will be responsible for creating robust and efficient mechanical mechanisms, assemblies, and systems that integrate with advanced robotic technologies. This is an exciting opportunity to work with a multidisciplinary team of engineers, bringing together expertise in mechanical, electrical, and software engineering. Day-to-day responsibilities Design and develop mechanisms, systems, and electromechanical assemblies for robotic applications, including structures, actuators, and motion systems. Collaborate closely with the electrical and software engineering teams to ensure seamless integration of mechanical designs into complete robotic systems. Prototype, test, and iterate on mechanical designs to meet performance, cost, and manufacturability requirements. Analyze project specifications, materials, and manufacturing methods to ensure that designs meet both functional and production objectives. Use CAD tools (SolidWorks) to create detailed designs, 3D models, and engineering drawings. Participate in design reviews, contributing innovative solutions and improvements. Conduct simulations, stress analysis, and FEA to ensure reliability, durability, and safety of the designs. Provide technical support and troubleshooting during product development and manufacturing processes. Stay up-to-date with the latest developments in robotics and mechanical design to incorporate cutting‑edge technologies into our products. Qualifications / What you should apply if you Hold a bachelor’s degree in Mechanical Engineering or related field (Master’s preferred). Have 3+ years of experience in mechanical design, preferably in robotics or automation. Are proficient with CAD software (ideally SolidWorks). Have a strong understanding of mechanical principles, including statics, dynamics, and material properties. Have experience with FEA, simulations, and mechanical stress analysis tools. Have hands‑on experience with prototyping and testing. Are familiar with manufacturing processes such as CNC machining, 3D printing, sheet metal manufacturing and injection molding. Have excellent problem‑solving skills, with the ability to work independently and within a team. Have strong communication and collaboration skills to work with cross‑functional teams. Have experience with robotics, automation, or mechatronics systems is highly desirable. Why join Helsing Contribute directly to the protection of democratic countries while balancing ethical and geopolitical concerns. Work in a domain with highly unusual technical requirements where robustness, safety, and ethical considerations are vital. Collaborate on cutting‑edge technologies such as reinforcement learning, distributed systems, generative AI, and deployment infrastructure. Be part of a rapidly growing company that has already secured significant government contracts. Enjoy a culture that encourages responsible autonomy, critical thinking, and ownership of outcomes. What we offer Competitive salary and VSOP options Relocation support: up to €2,500 and 4 weeks temporary accommodation Learning allowance: €500/£450 yearly Health & wellness: gym membership and mental health support (Nilo.health) Social: regular company events and monthly social allowances Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work Hands‑on onboarding program (“Infraduction”) to build tooling and applications across the company. Equality and privacy statement Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here. #J-18808-Ljbffr

Senior Software Verification Engineer, Datacenter Software

## Senior Software Verification Engineer, Datacenter SoftwareApplylocations: Spain, Valencia, Cortes Valencianastime type: Full timeposted on: Posted Todayjob requisition id: R **About Analog Devices**Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn and on LinkedIn and X.**Senior Software Verification Engineer, Embedded Software, Datacenters & Energy**Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.We are looking for a **Senior Software Verification Engineer, Embedded Software,** to join our **Software and Digital Platforms Group** in **Valencia, Spain,** working on **Datacenters & Energy** products. **About the Role**As **Senior Software Verification Engineer, Embedded Software**, be one of a team responsible for verifying software developed for cutting-edge embedded systems that drive next-generation intelligent power management for datacenters, ensuring they meet the highest standards for security, reliability, and real time performance.**Key responsibilities include:*** Understand power control systems and topologies relevant to modern datacenter architectures to ensure accurate verification of related requirements.* Identify opportunities for test automation in embedded software environments and implement robust tools and libraries as part of a test framework.* Define test specifications based on requirements and develop automated test code to maintain stable regression suites with full traceability.* Analyze results to identify defects, collaborate with developers during debugging, and ensure root cause analysis is documented.* Check quality of software releases and verify/sign-off against acceptance criteria.* Prepare test reports, summarizing test results, findings, and recommendations.* Provide feedback to developers on identified issues and areas for improvement.* Apply software industry best practices, including CI/CD workflows, version control, static analysis, and automated testing frameworks.* Ensure the quality and reliability of software releases through rigorous verification processes, actively developing and maintaining CI/CD workflows for embedded systems.**Minimum Qualifications/skills:*** Bachelor’s or Master’s degree in Electronics, Electrical Engineering, or Computer Science.* 5+ years of industry experience in embedded systems or software testing.* Minimum 3 years hands on experience in developing test code for software systems using Python and PyTest.* Hands on experience with CI/CD tool environments such as Jenkins/Github Actions.* Excellent written and verbal communication skills.* Basic knowledge of protocols used in embedded systems (I2C, SPI, UART, CAN).* Working Knowledge of Signal Processing concepts such as Filters, Fast Fourier Transforms, Harmonic Distortion, etc.**Preferred Qualifications:*** Knowledge of power systems, DC/DC conversion.* Knowledge about containerization with docker.* ISTQ certification.* Experience in software development with C/C++ and testing such as Ceedling, Unity, GoogleTests.* Experience with code coverage such as Gcov.* Experience with Agile workflows such as Scrum or Kanban.*For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.**Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.*Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days#J-18808-Ljbffr

Desarrollador/a Pl1 / Cobol Recien graduado Informática/ matematicas / física o similares - Bar[...]

Desarrollador/a Pl1 / Cobol Recien graduado Informática/ matematicas / física o similares - Barcelona 1- Este es el reto En Minsait, creemos en el talento que impulsa el cambio. Únete a nuestro equipo de programación como Desarrollador/a Cobol / Pl1 y sé parte de esta transformación. 2- Sobre el equipo y su impacto Siendo parte de nuestro equipo de Delivery Network , trabajarás en entornos bancarios y financieros de alta criticidad, participando en el mantenimiento y evolución de sistemas core construidos en COBOL . En Minsait aportamos nuestra experiencia y un enfoque sólido e innovador para garantizar que las plataformas financieras sean fiables, seguras y escalables . Nuestro equipo domina los procesos de desarrollo en entornos mainframe y somos especialistas en integrar herramientas y metodologías clave a lo largo de toda la cadena de valor del ciclo de vida del software. Contribuirás a asegurar la continuidad operativa del negocio, optimizando procesos y modernizando aplicaciones esenciales para el funcionamiento del sector financiero. 3- Motivos por los que ser un #Minsaiter En Minsait, trabajamos para que nuestros profesionales encuentren el equilibrio perfecto entre su vida personal y profesional. Por ello, ofrecemos: Entorno humano y retador Equipo excepcional y diverso, en el que podrás colaborar con profesionales especializados y siempre actualizados. Entorno que fomenta la innovación, el respeto y el crecimiento conjunto. Proyectos únicos y retadores con tecnologías punteras, donde tu talento será protagonista. Conciliación y Flexibilidad Modelos de trabajo adaptados: 100% remoto o híbrido, dependiendo del puesto. Flexibilidad horaria. 32 días laborables de descanso anuales. Jornada intensiva en verano y todos los viernes. Desarrollo Profesional Formación Inicial 2-3 semanas tecnologías Pl1 / Cobol. Planes de carrera personalizados que te permitirán alcanzar todo tu potencial. Condiciones Competitivas Contrato indefinido y retribución acorde a tu experiencia y perfil. Acceso a planes de retribución flexible: tarjeta restaurante, guardería, transporte y seguro médico privado. Bienestar Integral Programa de bienestar: acceso a una red de gimnasios, revisiones médicas, fisioterapia en oficina, talleres de salud y servicios de telemedicina en línea. 4- Lo que harás con nosotros Desarrollo y mantenimiento de aplicaciones core bancarias Análisis funcional y técnico de requerimientos Ejecución de pruebas y validación de entregas Integración con sistemas y procesos transversales del banco 5- Lo que buscamos en ti para ser parte de esta transformación Recien graduado en ingeniería informática / matemáticas / física o similar también se valoran personas en el último año de Máster además de Grado técnico. Residencia en Barcelona. Capacidad analítica, iniciativa y empuje personal. Entusiasmo y proactividad. Trabajo en Equipo. Nuestro compromiso es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, procurando el desarrollo profesional de la plantilla y garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. #J-18808-Ljbffr

AI Engineer

The Opportunity We are looking for an AI Engineer to join our Ekahau team. Ekahau enables IT professionals to take control of their Wi‑Fi, making it easier than ever before to proactively monitor, maintain, and optimize their networks. Organizations of every size—including the world’s biggest brands and events—use our software and hardware products for full Wi‑Fi lifecycle management and the highest levels of performance and connectivity. Our award‑winning design, site survey, and troubleshooting solutions create fast, reliable networks that businesses can trust for their mission‑critical Wi‑Fi needs. In this role, you will work as part of our research team, exploring and pioneering innovative technologies and methodologies related to wireless communication systems planning, optimization, spatial mapping, and network troubleshooting. You will bridge cutting‑edge spatial AI (LiDAR/camera floorplan extraction and 3D point cloud analysis) and modern AI, ML, and LLM approaches with high‑performance edge and cloud infrastructure (AWS SageMaker, NVIDIA Triton). By conducting experiments, building proof‑of‑concepts, and translating theoretical concepts into production‑graded systems, you will directly shape how indoor environments are captured, analyzed, and optimized for global connectivity. Expectations for Success 3D Spatial & Computer Vision Engineering: Design, build, and maintain real‑time 3D spatial processing pipelines, leveraging sensor fusion (LiDAR, camera feeds, spatial telemetry) for point cloud filtering, segmentation, and 3D layout analysis. Computer Vision & Layout Detection: Develop computer vision models and downstream post‑processing algorithms to extract structural features, recognize building geometry, and generate precise 2D/3D floorplans from raw visual and spatial data. Research to Production: Translate research findings, algorithmic prototypes, and modern AI/ML/LLM concepts into high‑performance, maintainable production code in Python, taking direct ownership of core product implementations. Scalable Cloud Inference Architecture: Architect, deploy, and manage multi‑model inference pipelines on AWS SageMaker and NVIDIA Triton Inference Server, ensuring low‑latency processing and reliable high‑throughput serving. MLOps, Data Engineering & System Observability: Build end‑to‑end data and MLOps pipelines—encompassing synthetic data generation, active annotation, dataset versioning, continuous integration/deployment (CI/CD), and real‑time telemetry—to continuously evaluate, deploy, and monitor model performance, latency, and spatial accuracy. Cross‑Functional Technical Collaboration: Work directly alongside software engineering, research, and product management teams to transition prototype features into scalable, market‑ready releases. Requirements Software Engineering: Production‑level mastery of Python alongside working knowledge of C++ or Swift, emphasizing clean code, modular design, and execution speed. Computer Vision & 3D Spatial Processing: Hands‑on experience with OpenCV, Open3D, or PCL (Point Cloud Library) for point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations. ML & Deep Learning Frameworks: Deep experience with PyTorch or TensorFlow, alongside proficiency in Scikit‑learn for traditional machine learning and statistical data analysis. High‑Throughput Cloud Serving: Proven experience building low‑latency serving infrastructure using NVIDIA Triton Inference Server and managing end‑to‑end model workflows on AWS SageMaker. Model Optimization & Acceleration: Familiarity with model quantization, pruning, and target compilers (e.g., ONNX Runtime, TensorRT) to hit production latency targets. Applied AI & Domain Math: Solid foundation in linear algebra, 3D geometry, coordinate systems, multi‑sensor fusion, and awareness of modern LLM/multimodal applications. Preferred Technical Qualifications Wireless Domain Knowledge: Basic understanding of RF environment simulation, indoor spatial coverage modeling, or wireless network planning principles. Mobile Edge Integration: Experience optimizing or running vision models on iOS devices (CoreML, ARKit, Metal). About Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi‑source data with industry‑leading expertise, we transform network performance metrics into strategic, actionable insights. Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real‑world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. About Accenture Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI‑enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end‑to‑end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit . Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is x - x. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. #J-18808-Ljbffr

Senior AI Engineer – Notebooks

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go, Python or similar systems programming languages You have 6+ years of relevant engineering experience You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr

Senior AI Engineer – Notebooks

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go, Python or similar systems programming languages You have 6+ years of relevant engineering experience You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr

Workday Extend Consultant/Architect | Workday Extend Consultant/Architect

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Build the \"Un-buildable\" on the Workday Platform. Our Workday Extend team is small, agile, and growing at light speed. We don’t just \"configure\" Workday—we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom objects, event-driven orchestrations, and high-impact app development. This is a rare opportunity to be a founding member of a rapidly scaling Extend practice, where you will help define our development standards and build solutions that truly didn't exist before. The Role: Architect, Developer, Trailblazer As an Extend Consultant, you are the bridge between a client’s \"I wish Workday could do this\" and a fully functional, production-ready application. You will use the Workday App Builder and Orchestration Builder to create seamless experiences that live natively within the Workday UI. Key Technical Focus Areas App Development: Build custom apps using the Workday Extend framework, managing the full lifecycle from App Hub configuration to production deployment. Orchestration: Design and build complex, event-driven Workday Orchestrations to sync data across Workday and third-party systems (using the Orchestration Builder drag-and-drop tool). Data Modeling: Create and manage Custom Business Objects (CBOs) and custom processes to extend the Workday data model. UI/UX Design: Craft intuitive user experiences using Page Builder, ensuring a \"Workday-native\" look and feel for every custom task. Advanced Logic: Utilize Workday Query Language (WQL) and REST/SOAP APIs to pull, push, and transform data with precision. What You’ll Do Day-to-Day Design & Prototype: Translate complex business requirements into technical blueprints including UI flows, security domains, and data models. Full-Stack Extend Delivery: Independently build, test, and deploy applications, ensuring they are \"update-safe\" and maintainable. Troubleshoot & Optimize: Debug complex logic within orchestrations and perform root-cause analysis on app performance or security issues. Practice Building: Contribute to our internal Reusable Solution Library. Since our team is small, your templates and \"best practices\" will become the foundation for all future hires. Cross-Functional Collaboration: Partner with Functional and Integration teams to ensure Extend apps integrate perfectly with core HCM, Finance, or Student modules. Qualifications The Foundation: 3+ years of experience in Workday Extend. The Toolkit: Proficient in REST APIs, JSON, and Workday Web Services. Familiarity with WQL is a major advantage. The Architect Mindset: Ability to design Workday Orchestrations and custom security models independently. The Builder Spirit: Experience with App Builder (Visual and Code modes) and a solid understanding of how to extend Workday's metadata-driven architecture. Growth Ready: Comfortable in a \"startup-style\" environment within a larger company—you are proactive, love to learn, and aren't afraid to help build the roadmap as we go. Communication: Ability to explain the \"Art of the Possible\" with Extend to non-technical stakeholders. Kognitiv is an Equal Opportunity Employer All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. Pay Transparency Statement €32,376 EUR - €100,473 EURKognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website #J-18808-Ljbffr

Workday Extend Consultant/Architect | Workday Extend Consultant/Architect

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Build the \"Un-buildable\" on the Workday Platform. Our Workday Extend team is small, agile, and growing at light speed. We don’t just \"configure\" Workday—we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom objects, event-driven orchestrations, and high-impact app development. This is a rare opportunity to be a founding member of a rapidly scaling Extend practice, where you will help define our development standards and build solutions that truly didn't exist before. The Role: Architect, Developer, Trailblazer As an Extend Consultant, you are the bridge between a client’s \"I wish Workday could do this\" and a fully functional, production-ready application. You will use the Workday App Builder and Orchestration Builder to create seamless experiences that live natively within the Workday UI. Key Technical Focus Areas App Development: Build custom apps using the Workday Extend framework, managing the full lifecycle from App Hub configuration to production deployment. Orchestration: Design and build complex, event-driven Workday Orchestrations to sync data across Workday and third-party systems (using the Orchestration Builder drag-and-drop tool). Data Modeling: Create and manage Custom Business Objects (CBOs) and custom processes to extend the Workday data model. UI/UX Design: Craft intuitive user experiences using Page Builder, ensuring a \"Workday-native\" look and feel for every custom task. Advanced Logic: Utilize Workday Query Language (WQL) and REST/SOAP APIs to pull, push, and transform data with precision. What You’ll Do Day-to-Day Design & Prototype: Translate complex business requirements into technical blueprints including UI flows, security domains, and data models. Full-Stack Extend Delivery: Independently build, test, and deploy applications, ensuring they are \"update-safe\" and maintainable. Troubleshoot & Optimize: Debug complex logic within orchestrations and perform root-cause analysis on app performance or security issues. Practice Building: Contribute to our internal Reusable Solution Library. Since our team is small, your templates and \"best practices\" will become the foundation for all future hires. Cross-Functional Collaboration: Partner with Functional and Integration teams to ensure Extend apps integrate perfectly with core HCM, Finance, or Student modules. Qualifications The Foundation: 3+ years of experience in Workday Extend. The Toolkit: Proficient in REST APIs, JSON, and Workday Web Services. Familiarity with WQL is a major advantage. The Architect Mindset: Ability to design Workday Orchestrations and custom security models independently. The Builder Spirit: Experience with App Builder (Visual and Code modes) and a solid understanding of how to extend Workday's metadata-driven architecture. Growth Ready: Comfortable in a \"startup-style\" environment within a larger company—you are proactive, love to learn, and aren't afraid to help build the roadmap as we go. Communication: Ability to explain the \"Art of the Possible\" with Extend to non-technical stakeholders. Kognitiv is an Equal Opportunity Employer All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. Pay Transparency Statement €32,376 EUR - €100,473 EURKognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website #J-18808-Ljbffr

Workday Extend Consultant/Architect | Workday Extend Consultant/Architect

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Build the \"Un-buildable\" on the Workday Platform. Our Workday Extend team is small, agile, and growing at light speed. We don’t just \"configure\" Workday—we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom objects, event-driven orchestrations, and high-impact app development. This is a rare opportunity to be a founding member of a rapidly scaling Extend practice, where you will help define our development standards and build solutions that truly didn't exist before. The Role: Architect, Developer, Trailblazer As an Extend Consultant, you are the bridge between a client’s \"I wish Workday could do this\" and a fully functional, production-ready application. You will use the Workday App Builder and Orchestration Builder to create seamless experiences that live natively within the Workday UI. Key Technical Focus Areas App Development: Build custom apps using the Workday Extend framework, managing the full lifecycle from App Hub configuration to production deployment. Orchestration: Design and build complex, event-driven Workday Orchestrations to sync data across Workday and third-party systems (using the Orchestration Builder drag-and-drop tool). Data Modeling: Create and manage Custom Business Objects (CBOs) and custom processes to extend the Workday data model. UI/UX Design: Craft intuitive user experiences using Page Builder, ensuring a \"Workday-native\" look and feel for every custom task. Advanced Logic: Utilize Workday Query Language (WQL) and REST/SOAP APIs to pull, push, and transform data with precision. What You’ll Do Day-to-Day Design & Prototype: Translate complex business requirements into technical blueprints including UI flows, security domains, and data models. Full-Stack Extend Delivery: Independently build, test, and deploy applications, ensuring they are \"update-safe\" and maintainable. Troubleshoot & Optimize: Debug complex logic within orchestrations and perform root-cause analysis on app performance or security issues. Practice Building: Contribute to our internal Reusable Solution Library. Since our team is small, your templates and \"best practices\" will become the foundation for all future hires. Cross-Functional Collaboration: Partner with Functional and Integration teams to ensure Extend apps integrate perfectly with core HCM, Finance, or Student modules. Qualifications The Foundation: 3+ years of experience in Workday Extend. The Toolkit: Proficient in REST APIs, JSON, and Workday Web Services. Familiarity with WQL is a major advantage. The Architect Mindset: Ability to design Workday Orchestrations and custom security models independently. The Builder Spirit: Experience with App Builder (Visual and Code modes) and a solid understanding of how to extend Workday's metadata-driven architecture. Growth Ready: Comfortable in a \"startup-style\" environment within a larger company—you are proactive, love to learn, and aren't afraid to help build the roadmap as we go. Communication: Ability to explain the \"Art of the Possible\" with Extend to non-technical stakeholders. Kognitiv is an Equal Opportunity Employer All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. Pay Transparency Statement €32,376 EUR - €100,473 EURKognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website #J-18808-Ljbffr

Workday Extend Consultant/Architect | Workday Extend Consultant/Architect

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Build the \"Un-buildable\" on the Workday Platform. Our Workday Extend team is small, agile, and growing at light speed. We don’t just \"configure\" Workday—we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom objects, event-driven orchestrations, and high-impact app development. This is a rare opportunity to be a founding member of a rapidly scaling Extend practice, where you will help define our development standards and build solutions that truly didn't exist before. The Role: Architect, Developer, Trailblazer As an Extend Consultant, you are the bridge between a client’s \"I wish Workday could do this\" and a fully functional, production-ready application. You will use the Workday App Builder and Orchestration Builder to create seamless experiences that live natively within the Workday UI. Key Technical Focus Areas App Development: Build custom apps using the Workday Extend framework, managing the full lifecycle from App Hub configuration to production deployment. Orchestration: Design and build complex, event-driven Workday Orchestrations to sync data across Workday and third-party systems (using the Orchestration Builder drag-and-drop tool). Data Modeling: Create and manage Custom Business Objects (CBOs) and custom processes to extend the Workday data model. UI/UX Design: Craft intuitive user experiences using Page Builder, ensuring a \"Workday-native\" look and feel for every custom task. Advanced Logic: Utilize Workday Query Language (WQL) and REST/SOAP APIs to pull, push, and transform data with precision. What You’ll Do Day-to-Day Design & Prototype: Translate complex business requirements into technical blueprints including UI flows, security domains, and data models. Full-Stack Extend Delivery: Independently build, test, and deploy applications, ensuring they are \"update-safe\" and maintainable. Troubleshoot & Optimize: Debug complex logic within orchestrations and perform root-cause analysis on app performance or security issues. Practice Building: Contribute to our internal Reusable Solution Library. Since our team is small, your templates and \"best practices\" will become the foundation for all future hires. Cross-Functional Collaboration: Partner with Functional and Integration teams to ensure Extend apps integrate perfectly with core HCM, Finance, or Student modules. Qualifications The Foundation: 3+ years of experience in Workday Extend. The Toolkit: Proficient in REST APIs, JSON, and Workday Web Services. Familiarity with WQL is a major advantage. The Architect Mindset: Ability to design Workday Orchestrations and custom security models independently. The Builder Spirit: Experience with App Builder (Visual and Code modes) and a solid understanding of how to extend Workday's metadata-driven architecture. Growth Ready: Comfortable in a \"startup-style\" environment within a larger company—you are proactive, love to learn, and aren't afraid to help build the roadmap as we go. Communication: Ability to explain the \"Art of the Possible\" with Extend to non-technical stakeholders. Kognitiv is an Equal Opportunity Employer All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. Pay Transparency Statement €32,376 EUR - €100,473 EURKognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website #J-18808-Ljbffr

Workday Extend Consultant/Architect | Workday Extend Consultant/Architect

At Kognitiv Inc., we’re redefining what it means to be a Workday partner. As one of the fastest-growing companies in the ecosystem, we bring deep expertise, innovative thinking, and a people-first mindset to everything we do. We’re not just building better Workday solutions—we’re building a company where talented people thrive. Ready to do your best work? Join us. Build the \"Un-buildable\" on the Workday Platform. Our Workday Extend team is small, agile, and growing at light speed. We don’t just \"configure\" Workday—we treat it as a development platform. We are looking for a Consultant who wants to move beyond standard modules and dive into the world of custom objects, event-driven orchestrations, and high-impact app development. This is a rare opportunity to be a founding member of a rapidly scaling Extend practice, where you will help define our development standards and build solutions that truly didn't exist before. The Role: Architect, Developer, Trailblazer As an Extend Consultant, you are the bridge between a client’s \"I wish Workday could do this\" and a fully functional, production-ready application. You will use the Workday App Builder and Orchestration Builder to create seamless experiences that live natively within the Workday UI. Key Technical Focus Areas App Development: Build custom apps using the Workday Extend framework, managing the full lifecycle from App Hub configuration to production deployment. Orchestration: Design and build complex, event-driven Workday Orchestrations to sync data across Workday and third-party systems (using the Orchestration Builder drag-and-drop tool). Data Modeling: Create and manage Custom Business Objects (CBOs) and custom processes to extend the Workday data model. UI/UX Design: Craft intuitive user experiences using Page Builder, ensuring a \"Workday-native\" look and feel for every custom task. Advanced Logic: Utilize Workday Query Language (WQL) and REST/SOAP APIs to pull, push, and transform data with precision. What You’ll Do Day-to-Day Design & Prototype: Translate complex business requirements into technical blueprints including UI flows, security domains, and data models. Full-Stack Extend Delivery: Independently build, test, and deploy applications, ensuring they are \"update-safe\" and maintainable. Troubleshoot & Optimize: Debug complex logic within orchestrations and perform root-cause analysis on app performance or security issues. Practice Building: Contribute to our internal Reusable Solution Library. Since our team is small, your templates and \"best practices\" will become the foundation for all future hires. Cross-Functional Collaboration: Partner with Functional and Integration teams to ensure Extend apps integrate perfectly with core HCM, Finance, or Student modules. Qualifications The Foundation: 3+ years of experience in Workday Extend. The Toolkit: Proficient in REST APIs, JSON, and Workday Web Services. Familiarity with WQL is a major advantage. The Architect Mindset: Ability to design Workday Orchestrations and custom security models independently. The Builder Spirit: Experience with App Builder (Visual and Code modes) and a solid understanding of how to extend Workday's metadata-driven architecture. Growth Ready: Comfortable in a \"startup-style\" environment within a larger company—you are proactive, love to learn, and aren't afraid to help build the roadmap as we go. Communication: Ability to explain the \"Art of the Possible\" with Extend to non-technical stakeholders. Kognitiv is an Equal Opportunity Employer All applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Kognitiv will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. Work Authorization Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Kognitiv. Candidates who are currently employed by a client of Kognitiv or an affiliated Kognitiv business may not be eligible for consideration. Estimated Application Deadline This job postings' application deadline is an estimate, but ultimately the fill date is flexible and the job will remain open until filled. Any updates on deadlines will be communicated through this job posting. Pay Transparency Statement €32,376 EUR - €100,473 EURKognitiv is committed to a transparent and equitable compensation structure, which is determined by a variety of factors including skill set, experience, education, market data, and internal equity. In instances where a role is open to multiple experience levels, the posted salary range may be broad; a more granular, level-specific range will be defined and discussed during the interview process. Candidates invited to a recruiter screen can expect a candid discussion of our compensation philosophy, the specific salary range for this position, and the variable pay opportunities that may be available for this role. For details on our comprehensive benefits package please visit our careers website #J-18808-Ljbffr

Customer Support Engineer

Job Overview Zoho Corporation is a leading provider of SaaS products, empowering businesses worldwide with innovative solutions. We are seeking a dedicated Customer Support Engineer to join our team and provide exceptional support to our customers in the European market. Your Day‑to‑Day Responsibilities Become a subject matter expert on Zoho’s suite of business applications, mastering their features, configurations, and integration capabilities. Serve as a trusted technical advisor for our Spanish‑speaking customers via phone, chat, and email, providing in‑depth troubleshooting and solution guidance. Collaborate with cross‑functional teams to investigate complex technical scenarios, reproduce issues, and drive timely resolutions. Assist customers in configuring integrations and automations to optimize their workflows and validate proof‑of‑concept solutions. Contribute to a culture of continuous improvement by documenting best practices, refining internal processes, and sharing knowledge across teams. Maintain accurate case records and insights to help enhance both customer experience and product quality. Requirements 3–5 years of experience in technical support, SaaS support, or system administration roles. Fluent proficiency in Spanish and a strong command of English, both written and verbal (mandatory). Strong technical understanding and familiarity with SaaS environments; experience configuring integrations, automations, or API‑based workflows is an advantage. Natural ability to solve problems and analyze complex issues. Adaptable mindset and willingness to learn new product features quickly. Comfortable working in a collaborative, in‑office environment. Bonus Skills Basic programming or scripting knowledge. Experience working with REST APIs. Familiarity with database concepts. Experience configuring or troubleshooting SaaS integrations. Benefits 27 days vacation excluding public holidays and statutory holidays. Health Insurance. Company lunch provided when the employee is in the office. MacBook, mobile, and paid SIM for business use. Company‑paid travel insurance for business purposes. Opportunity to work with a global team and contribute to the growth of a leading technology company. Location: Valencia (Spain). The role requires periodic travel. Applicants must hold a national or EU passport and have valid work authorization. Successful candidates will undergo background verification in compliance with national legislation and market standards. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting Join Zoho Corporation Europe today and be part of a company that is revolutionising the way businesses operate. Together, let's shape the future of business software! #J-18808-Ljbffr

Customer Account Management, Senior (French or Italian speaker)

Company overview: TraceLink is the world’s largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale. Founded in 2009 with the simple mission of protecting patients, today Tracelink has 5 global offices, over 800 employees and more than 1700 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT. Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably. Position Summary The Senior Customer Account Manager is responsible for protecting, growing, and strengthening TraceLink's Track & Trace customer relationships with our most valuable customers. Serving as the primary commercial owner for the Track & Trace Agentic Business Process (T&T ABP) commercialization journey across an assigned portfolio of customers, the Senior CAM helps customers maximize the value of their serialization, compliance, and digital compliance operations while expanding adoption of TraceLink's Track & Trace platform, compliance solutions, and Track & Trace-related Agentic Business Processes. The Senior CAM owns the complete commercial lifecycle of the T&T ABP journey, including customer strategy, renewals, compliance expansion, pipeline development, forecasting, and the introduction of new Track & Trace and compliance-related Agentic Business Processes that improve compliance, productivity, and operational performance. This is an outside sales/field-based role that requires hands-on executive relationship management, frequent on-site customer visits, and intentional territory planning. The CAM owns the complete commercial lifecycle of the T&T ABP journey, including account strategy, renewals, compliance expansion, pipeline development, forecasting, and the introduction of new Track & Trace and compliance-related Agentic Business Processes that improve compliance, productivity, and operational performance. Many customers will simultaneously pursue a broader Supply Chain Agentic Business Process (SC ABP) transformation journey. In these situations, the CAM works collaboratively with the SC ABP sales organization while independently owning the T&T ABP commercial relationship, ensuring customers experience a coordinated commercial engagement across both commercialization journeys. This role is ideal for a consultative enterprise account manager who excels at developing executive relationships, managing complex customer portfolios, executing disciplined commercial processes, and driving long-term customer value. Key Responsibilities Drive Outside Sales & On‑Site Strategic Engagement Execute Field‑Based Account Strategies: Proactively manage a high‑touch, outside sales model with regular travel to customer sites to build intimacy, establish presence, and drive strategic initiatives. Lead In‑Person Executive Sessions: Plan, coordinate, and lead high‑impact, face‑to‑face Customer Operational Reviews (CORs), Executive Business Reviews (EBRs), commercial planning sessions, and strategic account reviews with C-suite and senior leaders. Build On‑Site Relationships: Establish deep, trusted relationships across geographically dispersed teams, engaging on‑site with business, compliance, supply chain, quality, and IT stakeholders. Own the Track & Trace ABP Commercial Journey Serve as the primary commercial owner for the Track & Trace ABP commercialization journey across an assigned portfolio of customers. Develop and execute long‑term account strategies that maximize customer value, recurring revenue, and commercial growth. Develop and maintain comprehensive account plans using TraceLink's WISE operating platform (an AI‑powered Sales assistant). Build trusted relationships with executive, business, compliance, supply chain, quality, and IT stakeholders. Coordinate, prepare, and conduct Customer Operational Reviews (CORs), Executive Business Reviews (EBRs), commercial planning sessions, and strategic account reviews. Develop deep expertise in each customer's Track & Trace operating model, compliance processes, business priorities, and digital transformation initiatives. Protect and Expand the Compliance Business Develop and execute renewal strategies that maximize customer retention and long‑term customer value. Build and maintain a healthy pipeline of renewal, Track & Trace expansion, compliance expansion, and Track & Trace ABP opportunities sufficient to achieve assigned business objectives. Identify, qualify, and close expansion opportunities across the Track & Trace portfolio. Position Track & Trace‑related Agentic Business Processes that improve compliance execution, operational efficiency, and customer business outcomes. Position additional compliance capabilities including MINT Serialized Shipment, POET Compliance Exceptions, and future compliance‑related products and services. Build business cases demonstrating operational, compliance, and financial value. Execute targeted commercial campaigns that reinforce TraceLink's differentiated value proposition. Execute Commercial Excellence Execute opportunities using TraceLink's commercial methodology and sales process. Apply disciplined MEDDPICC qualification throughout the opportunity lifecycle to improve opportunity quality and forecast predictability. Maintain accurate forecasts, account plans, opportunity strategies, customer engagement plans, and commercial documentation within WISE and CRM. Ensure pipeline hygiene by maintaining accurate opportunity stages, close dates, next steps, qualification criteria, account strategies, and forecast commitments. Utilize TraceLink value frameworks, business value tools, and commercial assets to execute consistent customer engagement and opportunity progression. Participate in forecast reviews, opportunity reviews, account strategy reviews, and business operating cadences. Partner on Supply Chain Transformation Identify customer initiatives involving broader supply chain transformation, operational digitalization, or AI‑enabled operations. Introduce qualified Supply Chain ABP opportunities supported by documented customer objectives, business value hypotheses, executive stakeholder alignment, and MEDDPICC qualification. Partner closely with SC ABP teammates to coordinate customer engagement while maintaining ownership of the Track & Trace ABP commercialization journey. Present a unified TraceLink commercial strategy that enables customers to pursue both commercialization journeys simultaneously. Protect Customer Success Proactively identify commercial, operational, competitive, and customer health risks. Coordinate internal resources to resolve customer issues and protect recurring revenue. Collaboratively partner closely with Customer Success, Professional Services, Product Management, Marketing, Solution Consulting, and Support to ensure successful customer outcomes. Represent customer priorities internally and advocate for customer success across the organization. Success Measures The Senior Customer Account Manager is measured on: T&T Revenue Retention (Gross Revenue Retention) T&T Expansion Annual Recurring Revenue Successful Introduction of Track & Trace Agentic Business Processes Acquisition of Customer Operational Reviews (CORs) and Executive Business Reviews (EBRs) Qualified Supply Chain ABP Opportunity Referrals Forecast Accuracy Pipeline Hygiene and Commercial Process Compliance Effective Adoption of WISE Commercial Methodology and MEDDPICC Qualifications Required Experience 6+ years of proven outside sales, field‑based enterprise account management, strategic account development, or enterprise software sales experience managing tier‑1 key accounts. Demonstrated track record in an outside sales model, including a history of travel (up to 20%) to conduct face‑to‑face meetings, host on‑site EBRs, and build executive rapport in person. Experience managing complex strategic customer relationships. Demonstrated success protecting and expanding recurring software revenue. Experience engaging executive business and IT stakeholders. Strong commercial negotiation, opportunity qualification, forecasting, and account planning skills. Experience utilizing CRM systems and structured commercial sales methodologies. Proven record establishing collaborative internal cross‑functional relationships Excellent written, verbal, and executive communication skills. Native proficiency in French or Italian and excellent English communication skills required. Preferred Experience Life sciences, healthcare, supply chain, ERP, or enterprise SaaS experience. Knowledge of pharmaceutical compliance, serialization, or supply chain operations. Experience using MEDDPICC or similar enterprise opportunity qualification methodologies. Experience working in cross‑functional enterprise commercial organizations. Core Competencies Outside Sales & Territory Management Field Presence & On‑Site Executive Engagement Executive Relationship Management Strategic Account Planning Commercial Negotiation Customer Business Acumen Enterprise SaaS Consultative Selling Business Value Selling MEDDPICC Opportunity Qualification WISE Commercial Methodology Pipeline & Forecast Management Cross‑Functional Leadership Executive Communication & Presentation What Success Looks Like Successful Senior Customer Account Managers serve as the trusted commercial leaders for the Track & Trace ABP commercialization journey. They consistently retain and expand TraceLink's Track & Trace business, introduce new Track & Trace and compliance‑related Agentic Business Processes, execute disciplined commercial processes, maintain predictable forecasts and high‑quality pipelines, and identify strategic Supply Chain ABP opportunities. By combining strong customer relationships with operational excellence, they collaborate seamlessly across the organization to maximize long‑term customer value across both commercialization journeys while delivering predictable business results. TraceLink is committed to providing competitive compensation and benefits to all employees. This is the estimated base salary range for this role and should serve only as a guide. Final compensation offered may vary based on a variety of factors including but not limited to experience level, fit for the role, skills, domain knowledge, internal equity, budget, and location. EMEA Pay Range €70.000 — €95.000 EUR #J-18808-Ljbffr

Computer System Validation Lead for Cell & Gene Therapy

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Roche is advancing science and building a new portfolio of products in Cell and Gene Therapy (CGT), driving life‑changing treatments for patients. We are business minded technology experts in CGT acting as a pioneer in this new era in medicine. We are currently searching for a Computer System Validation Lead to oversee the compliance and validation of our digital solutions. In this position, your primary focus will be ensuring that all software, systems and processes function exactly as intended and strictly align with regulatory requirements and quality standards. By actively collaborating with product managers, RTEs, software developers, system owners and key business stakeholders, you will empower teams to successfully manufacture and deliver high‑quality pharmaceutical products. Job Responsibilities Strategy & Validation Execution: Formulate and deploy validation strategies for digital solutions, aligning with corporate benchmarks, industry best practices and regulatory mandates. Produce exhaustive validation protocols and plans for CGT applications, automated tools and data‑driven interfaces, ensuring comprehensive documentation of all activities Risk Management & Regulatory Compliance: Conduct comprehensive risk assessments to mitigate potential threats within the GMP environment. Ensure strict adherence to data integrity regulations and GMP standards, maintaining highly accurate logs, plans and change controls Qualification & Core Testing: Work alongside multidisciplinary teams and QA Subject Matter Experts (SMEs) to perform qualification benchmarks, execute test scenarios, analyse performance data and report findings Process Improvement & Leadership: Champion the advancement of validation methodologies, tooling and systems while keeping abreast of current industry trends and regulatory adjustments Application Ownership: Assume the role of System Owner for assigned software applications throughout the CGT digital landscape Qualifications Education / Experience Bachelor's degree in computer science, information systems or a related study (or equivalent project‑related experience) 5+ years of relevant experience as a Validation / CSV Expert providing mission‑critical services in a global organisation, preferably within the highly regulated Life Sciences industry Advanced expertise in Computer Systems Validation (CSV) principles, documentation and practices within a regulated GMP environment. Comprehensive understanding of regulatory standards, including FDA CFR Part 11, HIPAA, GDPR and current GxP documentation specifications. Practical experience with cloud platforms (AWS, Google Cloud) and ServiceNow, alongside familiarity with test automation processes. Professional mastery of IT Service Management frameworks, specifically ITIL V3/V4. Prior knowledge of cell & gene therapy or pharmaceutical supply chain processes is highly preferred. Personal attributes Leadership & Problem Solving: Detail‑oriented professional with strong analytical and hands‑on troubleshooting capabilities. Able to articulate complex ideas clearly and proactively direct validation initiatives across global, cross‑functional teams Stakeholder Management: Outstanding communication and relationship‑building skills, with a proven ability to moderate discussions, resolve conflicts, facilitate collaborative workshops and serve as a trusted advisor to diverse groups Team Collaboration & Mentorship: Highly energetic and positive mindset focused on coaching, mentoring and fostering seamless cross‑group cooperation Completely fluent in English (written and verbal) with a strong customer‑service orientation Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity and keep our ambitions high, so we can deliver life‑changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. #J-18808-Ljbffr

AI Engineer

The Opportunity We are looking for an AI Engineer to join our Ekahau team. Ekahau enables IT professionals to take control of their Wi‑Fi, making it easier than ever before to proactively monitor, maintain, and optimize their networks. Organizations of every size—including the world’s biggest brands and events—use our software and hardware products for full Wi‑Fi lifecycle management and the highest levels of performance and connectivity. Our award‑winning design, site survey, and troubleshooting solutions create fast, reliable networks that businesses can trust for their mission‑critical Wi‑Fi needs. In this role, you will work as part of our research team, exploring and pioneering innovative technologies and methodologies related to wireless communication systems planning, optimization, spatial mapping, and network troubleshooting. You will bridge cutting‑edge spatial AI (LiDAR/camera floorplan extraction and 3D point cloud analysis) and modern AI, ML, and LLM approaches with high‑performance edge and cloud infrastructure (AWS SageMaker, NVIDIA Triton). By conducting experiments, building proof‑of‑concepts, and translating theoretical concepts into production‑graded systems, you will directly shape how indoor environments are captured, analyzed, and optimized for global connectivity. Expectations for Success 3D Spatial & Computer Vision Engineering: Design, build, and maintain real‑time 3D spatial processing pipelines, leveraging sensor fusion (LiDAR, camera feeds, spatial telemetry) for point cloud filtering, segmentation, and 3D layout analysis. Computer Vision & Layout Detection: Develop computer vision models and downstream post‑processing algorithms to extract structural features, recognize building geometry, and generate precise 2D/3D floorplans from raw visual and spatial data. Research to Production: Translate research findings, algorithmic prototypes, and modern AI/ML/LLM concepts into high‑performance, maintainable production code in Python, taking direct ownership of core product implementations. Scalable Cloud Inference Architecture: Architect, deploy, and manage multi‑model inference pipelines on AWS SageMaker and NVIDIA Triton Inference Server, ensuring low‑latency processing and reliable high‑throughput serving. MLOps, Data Engineering & System Observability: Build end‑to‑end data and MLOps pipelines—encompassing synthetic data generation, active annotation, dataset versioning, continuous integration/deployment (CI/CD), and real‑time telemetry—to continuously evaluate, deploy, and monitor model performance, latency, and spatial accuracy. Cross‑Functional Technical Collaboration: Work directly alongside software engineering, research, and product management teams to transition prototype features into scalable, market‑ready releases. Requirements Software Engineering: Production‑level mastery of Python alongside working knowledge of C++ or Swift, emphasizing clean code, modular design, and execution speed. Computer Vision & 3D Spatial Processing: Hands‑on experience with OpenCV, Open3D, or PCL (Point Cloud Library) for point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations. ML & Deep Learning Frameworks: Deep experience with PyTorch or TensorFlow, alongside proficiency in Scikit‑learn for traditional machine learning and statistical data analysis. High‑Throughput Cloud Serving: Proven experience building low‑latency serving infrastructure using NVIDIA Triton Inference Server and managing end‑to‑end model workflows on AWS SageMaker. Model Optimization & Acceleration: Familiarity with model quantization, pruning, and target compilers (e.g., ONNX Runtime, TensorRT) to hit production latency targets. Applied AI & Domain Math: Solid foundation in linear algebra, 3D geometry, coordinate systems, multi‑sensor fusion, and awareness of modern LLM/multimodal applications. Preferred Technical Qualifications Wireless Domain Knowledge: Basic understanding of RF environment simulation, indoor spatial coverage modeling, or wireless network planning principles. Mobile Edge Integration: Experience optimizing or running vision models on iOS devices (CoreML, ARKit, Metal). About Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi‑source data with industry‑leading expertise, we transform network performance metrics into strategic, actionable insights. Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real‑world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. About Accenture Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI‑enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end‑to‑end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit . Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is x - x. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. #J-18808-Ljbffr

AI Engineer

The Opportunity We are looking for an AI Engineer to join our Ekahau team. Ekahau enables IT professionals to take control of their Wi‑Fi, making it easier than ever before to proactively monitor, maintain, and optimize their networks. Organizations of every size—including the world’s biggest brands and events—use our software and hardware products for full Wi‑Fi lifecycle management and the highest levels of performance and connectivity. Our award‑winning design, site survey, and troubleshooting solutions create fast, reliable networks that businesses can trust for their mission‑critical Wi‑Fi needs. In this role, you will work as part of our research team, exploring and pioneering innovative technologies and methodologies related to wireless communication systems planning, optimization, spatial mapping, and network troubleshooting. You will bridge cutting‑edge spatial AI (LiDAR/camera floorplan extraction and 3D point cloud analysis) and modern AI, ML, and LLM approaches with high‑performance edge and cloud infrastructure (AWS SageMaker, NVIDIA Triton). By conducting experiments, building proof‑of‑concepts, and translating theoretical concepts into production‑graded systems, you will directly shape how indoor environments are captured, analyzed, and optimized for global connectivity. Expectations for Success 3D Spatial & Computer Vision Engineering: Design, build, and maintain real‑time 3D spatial processing pipelines, leveraging sensor fusion (LiDAR, camera feeds, spatial telemetry) for point cloud filtering, segmentation, and 3D layout analysis. Computer Vision & Layout Detection: Develop computer vision models and downstream post‑processing algorithms to extract structural features, recognize building geometry, and generate precise 2D/3D floorplans from raw visual and spatial data. Research to Production: Translate research findings, algorithmic prototypes, and modern AI/ML/LLM concepts into high‑performance, maintainable production code in Python, taking direct ownership of core product implementations. Scalable Cloud Inference Architecture: Architect, deploy, and manage multi‑model inference pipelines on AWS SageMaker and NVIDIA Triton Inference Server, ensuring low‑latency processing and reliable high‑throughput serving. MLOps, Data Engineering & System Observability: Build end‑to‑end data and MLOps pipelines—encompassing synthetic data generation, active annotation, dataset versioning, continuous integration/deployment (CI/CD), and real‑time telemetry—to continuously evaluate, deploy, and monitor model performance, latency, and spatial accuracy. Cross‑Functional Technical Collaboration: Work directly alongside software engineering, research, and product management teams to transition prototype features into scalable, market‑ready releases. Requirements Software Engineering: Production‑level mastery of Python alongside working knowledge of C++ or Swift, emphasizing clean code, modular design, and execution speed. Computer Vision & 3D Spatial Processing: Hands‑on experience with OpenCV, Open3D, or PCL (Point Cloud Library) for point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations. ML & Deep Learning Frameworks: Deep experience with PyTorch or TensorFlow, alongside proficiency in Scikit‑learn for traditional machine learning and statistical data analysis. High‑Throughput Cloud Serving: Proven experience building low‑latency serving infrastructure using NVIDIA Triton Inference Server and managing end‑to‑end model workflows on AWS SageMaker. Model Optimization & Acceleration: Familiarity with model quantization, pruning, and target compilers (e.g., ONNX Runtime, TensorRT) to hit production latency targets. Applied AI & Domain Math: Solid foundation in linear algebra, 3D geometry, coordinate systems, multi‑sensor fusion, and awareness of modern LLM/multimodal applications. Preferred Technical Qualifications Wireless Domain Knowledge: Basic understanding of RF environment simulation, indoor spatial coverage modeling, or wireless network planning principles. Mobile Edge Integration: Experience optimizing or running vision models on iOS devices (CoreML, ARKit, Metal). About Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi‑source data with industry‑leading expertise, we transform network performance metrics into strategic, actionable insights. Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real‑world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected. About Accenture Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI‑enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end‑to‑end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit . Compensation Range Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is x - x. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance. #J-18808-Ljbffr

Senior AI Engineer – Notebooks

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go, Python or similar systems programming languages You have 6+ years of relevant engineering experience You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr

Senior AI Engineer – Notebooks

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go, Python or similar systems programming languages You have 6+ years of relevant engineering experience You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr

Senior AI Engineer – Notebooks

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go, Python or similar systems programming languages You have 6+ years of relevant engineering experience You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. You approach engineering through a strong product mindset and can connect technical decisions to customer outcomes and business impact. You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines. #J-18808-Ljbffr