Golang Job: Go Developer - Golang Developer- Kubernetes engine

Subject: Junior Go Developer / Golang Developer/ Kubernetes

engineer

Hybrid San Jose, CA 95110,

Duration 6 Month

Hiring strong software developers with solid Go programming experience and practical Kubernetes knowledge.

Also, just to expand the scope a bit, I'm aiming to hire a developer each in the Cloud team, the Edge team, and a team working on the management plane. So while CAPI/CAPX experience is ideal for the Cloud team, we can also use developers in other areas where the emphasis is more on edge and cloud-native software development.

• Solid Software Development Background: Proven experience in building enterprise-grade platforms, not just automation or infrastructure.
• Proficient in Go (Golang): Hands-on, professional experience with Go programming is critical.
• Practical Kubernetes Experience: Not just theoretical knowledge-candidate should have real-world experience working with Kubernetes in production environments.
• Cloud-Native Development Experience: Strong understanding of cloud-native architecture and tools, especially for roles on the Cloud and Edge teams.
• (BonNice-to-Have) Experience with CAPI/CAPX: Especially relevant for the Cloud team role, but not essential for all teams

Required Skills

• Go programming: Proven proficiency in production-grade development.
• Kubernetes: Solid knowledge of fundamentals; hands-on experience with CAPI/CAPX.
• Cloud platforms: Experience working with at least one major provider AWS, Azure, or Google Cloud Platform.
• Linux/CLI: Strong comfort with Linux environments and command-line tools.

Preferred Qualifications

• Kubernetes certifications (CKA, CKAD) are a plus.
• Experience with microservices architecture and
• Develop and maintain tools and services in Go to support our Kubernetes-based platform.
• Contribute to the creation and optimization of cluster management components, especially using Cluster API (CAPI) and provider-specific extensions (e.g., CAPX).
• Work across major cloud platforms (AWS, Azure, Google Cloud Platform) to implement scalable and secure deployments.
• Troubleshoot complex infrastructure issues using Linux and CLI tools.
• Collaborate with cross-functional teams to design microservices and APIs as needed.