1. Design, implement, and maintain a scalable cloud infrastructure on AWS to support project management, research data sharing and computing.
2. Develop Infrastructure as Code (IaC) solutions using tools like Terraform or AWS CloudFormation.
3. Implement containerized compute environments using Kubernetes (EKS) or Docker-based orchestration.
4. Enable hybrid cloud solutions, integrating AWS with on-premise compute and storage resources.
5. Design and optimize data storage solutions using AWS S3 and integrate on-premise S3-compatible storage options.
6. Ensure compliance with security, privacy, and regulatory requirements for handling sensitive research data.
7. Collaborate with Web Developers and other Engineers to integrate cloud services with the data space management system.
8. Monitor system performance, troubleshoot issues, and implement optimizations for reliability and cost efficiency.
9. Maintain high-quality code with proper documentation, testing, and version control (Git).
10. Develop and maintain documentation, CI/CD pipelines, and automation scripts.
Required Qualifications:
11. Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
12. Strong experience with AWS services, including but not limited to EC2, S3, Lambda, IAM, VPC, and RDS.
13. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
14. Experience with containerization and orchestration (Docker, Kubernetes, AWS EKS, or similar).
15. Knowledge of cloud networking, security best practices, and identity management.
16. Familiarity with CI/CD pipelines, automation tools (, GitHub Actions, Jenkins), and monitoring solutions.
17. Strong problem-solving skills and ability to work collaboratively in an interdisciplinary environment.
18. A strong background in industry standard DevOps tasks and processes.
Preferred Qualifications:
19. Experience with hybrid cloud environments and integrating on-premise resources with cloud services.
20. Understanding of data governance, compliance, and security frameworks (GDPR, HIPAA, etc.).
21. Proficiency in Python, Go, or Bash scripting for automation.
22. Previous experience in academic research environments or health/life sciences data infrastructure.
23. Working with the latest techniques / technical equipment
24. Possibility of mobile working
25. Flexible working hours within the framework of flexitime
26. Regular team meetings
27. Interdisciplinary cooperation with scientists from all member institutions of the Health+Life Science Alliance
28. Become a crucial member of our team and enable cutting-edge science!
29. An opportunity to work on a pioneering project that will advance research collaboration and innovation.
30. Collectively agreed remuneration, attractive company pension scheme (VBL)
31. 30 days vacation
32. Sustainable travel: job ticket
33. Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
34. Wide range of health, prevention and sports offers