Senior Azure DevOps Engineer (m/f/d)
In Germany - Berlin | Bonn | Cologne | Frankfurt/Main | Hamburg | Munich
Simon-Kucher is enabling its employees with generative AI based solutions to improve productivity. To support this endeavor, a central Data & AI function is being established. Together with our Data Analytics team Elevate and the Software Development team Engine, the demand for support of software development by IT is constantly increasing.
What makes us special:
1. Advance your career with exciting professional opportunities in our thriving company with a startup feel.
2. Voice your unique ideas in a corporate culture defined by openness and integrity.
3. Enjoy the opportunity to work from abroad (workation).
4. Feel at home working with our helpful, enthusiastic colleagues who have great team spirit.
5. Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning).
6. Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback).
7. Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
8. Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).
9. Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided.
10. See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party.
How you will create an impact:
11. Design Azure infrastructure using Terraform or Bicep
12. Build and manage secure landing zones (VNets, private endpoints, RBAC, Managed Identities)
13. Standardize infrastructure patterns and reusable modules.
14. Operate AKS / Azure Container Apps for containerized AI workloads
15. Implement robust CI/CD pipelines
16. Automate container build and release workflows
17. Support model deployment patterns (real-time endpoints, batch jobs)
18. Implement monitoring & observability (Azure Monitor, Log Analytics, App Insights)
19. Implement AI workflow orchestration + observability (e.g., LangChain/LangGraph patterns and prompt/version management)
20. Establish guardrails for LLM integrations (data handling, prompt injection mitigations, secrets, logging redaction, model access controls)
About you:
21. 5+ years in DevOps / Cloud / Platform Engineering
22. Strong production experience with Azure (especially Azure Foundry)
23. Solid Kubernetes experience (AKS preferred)
24. Knowledge of SharePoint integration, Power Automate and Logic Apps
25. Strong Docker and containerization skills
26. Strong API integration experience (REST, webhooks, OAuth2/OIDC, service principals/managed identity)
27. Infrastructure as Code expertise (Terraform preferred)
28. Experience supporting ML/AI workloads or data-heavy systems
29. Security-first mindset and experience designing production-ready environments
30. Master of clear and concise communication as well as documentation towards different stakeholder groups in English (C1+)
31. Experience with Langgraph/Langchain/Langsmith or other evaluation testing and observation orchestration platforms preferred.