platform engineer for enterprise AI workloads
Job Description
ะะฟะธัะฐะฝะธะต:
adesso SE is an IT services and consulting company that optimizes customersโ core business processes through tailored IT solutions and the use of current technologies.
ะะฐะดะฐัะธ:
Develop and operate scalable platform architectures for ML, LLM, and agentic workloads in enterprise environments; Implement Infrastructure-as-Code concepts for reproducible AI environments across multiple stages; Operate containerized training, inference, and MCP server workloads on Kubernetes or cloud-native platforms; Implement IAM, secrets management, networking, and multi-tenancy concepts at the platform level; Provide standardized runtime environments and interfaces for Data, ML, and GenAI teams.
ะขัะตะฑะพะฒะฐะฝะธั:
Completed degree in computer science, software engineering, IT systems engineering, or a comparable technical field; At least 5 years of experience building and operating productive cloud or AI platforms in enterprise environments; Deep understanding of containerization, cluster architectures, scaling mechanisms, and service-oriented integration patterns; Proficiency with Kubernetes, Terraform or Pulumi, CI/CD toolchains, and at least one hyperscaler cloud such as AWS, Azure, or GCP; Platform-oriented and standardized approach with a clear focus on scalability, security, and reusability; Confident use of AI tools in the professional field, with critical evaluation of their results; Ability to communicate securely and professionally in German and English, both verbally and in writing.
ะฃัะปะพะฒะธั:
Home-office collaboration is mentioned; Comprehensive training opportunities are available; A transparent career-level model supports professional development.
#J-18808-LjbffrReady to apply for this position?
Apply directly through the official application portal.