Senior Go Backend Engineer, Kubernetes Platform

Vcluster; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive Salary

Premium Insurance

Flexible Working Schedule

Workplace Flexibility

Job summary

vCluster Labs in San Francisco is seeking a Senior Software Engineer (Backend) to shape the future of Kubernetes multi-tenancy. You will architect core platform components and drive backend initiatives. You will write high-performance Go code, own features end-to-end, and engage with open source projects to define scalable isolation models.

This remote-friendly role offers startup grit and impact. Join a distributed team building AI infrastructure platform powering thousands of GPUs and

Qualifications

• Deep expertise in Kubernetes internals and architecture.
• Proficient in Go with ability to translate concepts into clean, efficient code.
• Proven builder mindset with active GitHub projects or OSS contributions.
• Self-driven with high agency; capable of owning end-to-end features.
• Experience in high-growth startups and autonomous work environments.

Responsibilities

• Dive deep into Kubernetes internals to extend the vCluster platform.
• Develop high-performance Go backend components powering tenancy features.
• Take ownership from design to release with minimal oversight.
• Contribute to open-source projects and collaborate with the community.
• Tackle hard system-level engineering problems requiring architectural thinking.

Skills

Kubernetes mastery

Go programming

Builder mindset

High agency

Startup experience

Job description

vCluster Labs in San Francisco is seeking a Senior Software Engineer (Backend) to shape the future of Kubernetes multi-tenancy. You will architect core platform components and drive backend initiatives. You will write high-performance Go code, own features end-to-end, and engage with open source projects to define scalable isolation models.

This remote-friendly role offers startup grit and impact. Join a distributed team building AI infrastructure platform powering thousands of GPUs and