Experienced DevOps Engineer (f/m/d)
About the Role
Location Germany Bayern Erlangen
1. Country: GERMANY
2. State/Province/County: Bayern
3. City: Munich
4. Country: GERMANY
5. State/Province/County: Berlin
6. City: Berlin
7. Country: United Kingdom
8. State/Province/County: England
9. Country: ROMANIA
10. State/Province/County: Bucuresti
11. City: Bucharest
Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy Global GmbH & Co. KG Organization SE CFO Business Unit Accounting & Controlling Full / Part time Full-time Experience Level Experienced Professional A Snapshot of Your Day As a DevOps Engineer in the Applied AI Solutions team, you will be responsible for using cloud infrastructure to enable the deployment of AI solutions to enable the company’s digital finance operations by automation. You will be a key contributor to Siemens Energy finance center of excellence for applied AI and automation. You’ll work closely with AI solution architects, data and AI engineers, data scientists, product owners and finance experts/stakeholders to ensure scalable, secure, and reliable operations of digital finance applications. Your day will involve automating deployments, monitoring systems, and enabling continuous integration and delivery across the team’s portfolio.How You’ll Make an Impact
12. Responsibility for leveraging enterprise cloud infrastructures (AWS, Azure) to enable automation solutions in collaboration with platform teams
13. Design and management of CI/CD pipelines for AI/ML models and automation solutions, ensuring efficient build–test–deploy cycles
14. Implementation of monitoring, alerting, and logging frameworks to ensure reliability, performance, and smooth operations
15. Application of Infrastructure as Code (IaC) and containerization technologies (, Terraform, Docker, API gateways, Snowflake, SAP)
16. Development and enforcement of best practices in DevOps, ensuring compliance with IT security, data privacy, and audit standards
17. Collaboration within Agile teams and contribution to the digital expert community through documentation and mentorship
What You Bring
18. University degree in Computer Science, Data Science, Engineering, or a related technical field, or comparable qualifications gained through professional experience
19. Extensive experience in leading DevOps engineering for cloud-native and business-critical solutions
20. Proficiency in AWS (Azure advantageous), CI/CD tools, and containerization/orchestration technologies
21. Proven ability to maintain high system availability and performance, ideally within finance or other high-impact sectors
22. Solid understanding of secure software development, compliance standards, and monitoring tools (, CloudWatch)
23. Experience working in Agile environments with a focus on rapid prototyping and MVP delivery