Responsibilities
1. Design, implement, and maintain CI/CD pipelines using TeamCity, Bitbucket/GitHub, and Jira.
2. Develop and execute automated test suites in Python for GNSS algorithms and service components.
3. Perform manual testing of edge cases, hardware integration scenarios, and real-world positioning workflows.
4. Contribute to the development of correction service components, including data processing, validation logic, and service orchestration.
5. Manage deployments to AWS using Kubernetes, Artifactory, and Helm.
6. Monitor system health and performance using Grafana Observability Stack and Prometheus.
7. Collaborate with algorithm developers, QA engineers, and hardware teams to validate positioning accuracy and system stability.
8. Document test strategies, results, and infrastructure configurations.
9. Support continuous improvement of testing frameworks and DevOps practices.
Testing Scope
10. Manual Testing GNSS signal edge cases, hardware-in-the-loop scenarios, real-world positioning validation.
11. Automated Testing Python-based test suites for algorithm correctness, regression, and integration.
12. Infrastructure Testing Kubernetes deployments, AWS configurations, service availability.
13. Performance Monitoring: Real-time metrics, alerting, and log analysis for positioning services.
Required Skills
14. 5+ years of experience in DevOps role
15. 5+ years of hands-on Python or other programming languages experience for testing, scripting, and service tooling.
16. Experience with CI tools: TeamCity, Bitbucket/GitHub, Jira.
17. Proficiency with container orchestration: Kubernetes, Docker.
18. Hands-on experience with AWS deployments and infrastructure.
19. Familiarity with monitoring tools: Grafana, Prometheus, Loki.
20. Experience with microservices and service orchestration.
Preferred Qualifications
21. Understanding of GNSS technologies (RTK, PPP) and correction data flows.
22. Experience in testing real-time systems or embedded software.
23. Familiarity with GNSS simulation tools or positioning accuracy validation.
24. Knowledge of Infrastructure as Code (IaC): Terraform, Helm.
25. Experience with Java for service integration and backend development.
26. Certifications: AWS DevOps Engineer, ISTQB, CKA.
Work Environment
27. Agile development process with cross-functional collaboration.
28. Close integration with algorithm teams and hardware engineers.
29. Flexible working hours and remote-friendly culture.
30. Focus on innovation, precision, and reliability.