Remote-first: work from anywhere in europe (cet ±4h) or on-site/hybrid in hamburg, germany.
3+ years professional experience with go
1+ year working with kubernetes controllers
Experience building internal developer platforms
Kubermatic is seeking a mid/senior Product Software Engineer for their Kubermatic Development Platform team, which focuses on building innovative solutions using Kubernetes and cloud-native technologies. The role involves collaborating closely with users and the engineering team to design, develop, and deliver high-quality software, primarily utilizing Go
Job Summary
You will drive features from discovery to delivery while shaping architectural decisions for a self-service developer platform.
The role involves developing scalable services and Kubernetes Operators in Go to power a novel multi-tenant approach leveraging kcp.
Kubermatic offers a remote-first culture in Europe with support for training, certifications, and conference attendance.
Matching Summary
Match Score: 85
Kubermatic is seeking a mid/senior Product Software Engineer for their Kubermatic Development Platform team, which focuses on building innovative solutions using Kubernetes and cloud-native technologies. The role involves collaborating closely with users and the engineering team to design, develop, and deliver high-quality software, primarily utilizing Go.
Salary
Competitive salary; B2B contracts available; Paid time off annually plus local bank holidays
Skills & Requirements
Must-have
3+ years professional experience with Go
1+ year working with Kubernetes controllers
Experience building internal developer platforms
Strong proficiency in distributed systems
Ability to collaborate with Product Management
Nice-to-have
Familiarity with feature flags and progressive delivery
Experience extending MCP servers for AI integration
Contributions to upstream CNCF projects like kcp
Pragmatic problem-solving mindset
Empathy for KDP users and customer challenges
Key Requirements
3+ years of professional experience with Go
1+ year working with Kubernetes controllers and operators
Strong proficiency in AWS or GCP cloud environments