Job summary
An engineering role focused on developing and maintaining internal tools and services that support the build, test, and deployment pipelines for software products. The position involves collaborating with multiple teams to enhance delivery efficiency and developer experience, primarily coding in Python and working with modern infrastructure and AI automation tools.
Location and work setup
- Location
- Bærum
- Work setup
- On-site
Responsibilities
Design, implement, and maintain software features and functionality mainly in Python. Develop and support Kubernetes infrastructure using GitOps practices and relevant tools like ArgoCD and Elastic Stack. Establish metrics and alerts to ensure the health and observability of services. Enhance developer workflows through AI-based tooling. Test and debug both internal code and client-facing software products.
Qualifications
A degree in computer science or equivalent education. Between one and two years of professional experience in software or DevOps engineering. Proficiency in Python coding, including writing clean, testable, and debuggable code. Familiarity with DevOps tools such as Git, Linux/Unix environments, Docker containerization, and Kubernetes deployment. Interest or experience with AI tools to automate development and operational workflows. Skill in writing unit and integration tests, building or integrating APIs, and strong teamwork and communication abilities.