Senior Software Engineer (Backend)

vCluster Labs

2d • $130,000 - $180,000 • Remote

About The Position

As vCluster Labs’ Senior Software Engineer (Backend), you aren’t just writing code; you are defining the future of Kubernetes multi-tenancy. In this role, you will serve as a core architect of the vCluster Platform, tasked with navigating complex Kubernetes internals to build tools used by the world's leading engineering teams.

Requirements

• Deep expertise in Kubernetes internals. We value a profound understanding of how Kubernetes works (architectural patterns, networking, storage).
• Strong programming skills in Go. While Kubernetes knowledge is paramount, you must be able to translate that knowledge into clean, efficient Go code.
• You build things outside of work. You have active GitHub projects, experiments, or open-source contributions that demonstrate your passion for building.
• You are highly technical and self-driven. You thrive in environments where you are expected to identify problems and solve them autonomously.
• Experience working in a high-growth environment. You are comfortable with ambiguity and eager to make an impact.

Nice To Haves

• A history of contributions to the Kubernetes project (Upstream), including documentation updates, Pull Requests (PRs), or active participation in Special Interest Groups (SIGs).
• You have been at an early-stage organization where you function autonomously and strive towards building something great.

Responsibilities

• Work intimately with Kubernetes internals to push the boundaries of container orchestration.
• Write high-performance, resilient Go code to power the core logic of the vCluster platform.
• Take full ownership of your work. You are self-driven and capable of managing feature development from technical design to release without needing constant oversight.
• Engage with the community and contribute to our open-source projects. You will help define the next generation of tenancy models, creating scalable solutions for isolation and resource sharing beyond simple namespaces.
• Tackle hard engineering challenges where the solution isn't always on ChatGPT, requiring a deep understanding of systems architecture.

Benefits

• Competitive compensation package, including equity.
• Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).
• Flexible working schedule.
• Workplace flexibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed