DevOps Engineer for Fixed Video Devices

The Video Devices Teams in the R&D center in Krakow have been growing dynamically since 2019. Currently, they have more than 60 specialists working on solutions for fixed and mobile (body-worn) cameras. They provide advanced video capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure, and public venues.

• Strong practical knowledge of GitHub and GitHub Actions.
• Experience creating pipelines for backend or embedded systems is highly preferred.
• Proficiency with Docker.
• Knowledge of Kubernetes is a strong plus.
• Strong scripting skills (e.g., Bash, Python, or Shell) to automate tasks and maintain operational tools.
• Familiarity with Linux administration, command line, and environment configuration.
• Basic knowledge of networking (routing, TCP/IP, switching, VLANs).
• Ability to quickly triage problems, determine root causes, and drive resolutions, especially regarding hardware-software interactions.
• Willingness to collaborate closely with colleagues in hardware engineering, QA, and backend development.
• Proficiency in English allowing for efficient communication.

Nice to Have:

• Experience with observability tools like Thanos and Grafana.
• Familiarity with C++.
• Interest in IoT systems or embedded systems development.

• Create, maintain, and optimize the environment for build systems, ensuring consistency across development and production stages.
• Monitor existing CI/CD sanity check workflows, specifically overseeing daily firmware tests running on real camera hardware to ensure immediate feedback on code health.
• Maintain and manage servers in the lab environment with support from the Lab Admin team.
• Provide operational support for lab infrastructure, including troubleshooting failing lab cameras or network issues to minimize downtime for the development team.
• Support and create new AI-enabled internal tools to assist developers in day to day work (e.g. in debugging complex issues).
• Work closely with the Quality Assurance team to define the scope of automated testing and optimize workflows to reduce recurrent infrastructure costs.