Kubernetes Platform Engineer

TensorWave is at the forefront of AI compute technology, developing a sophisticated cloud platform that's revolutionizing AI innovation. As a Kubernetes Platform Engineer, you'll be instrumental in maintaining their bare-metal Kubernetes infrastructure, focusing on support and operations. This role combines hands-on technical work with critical infrastructure management, requiring expertise in Kubernetes, networking, and system operations.

The position offers an exciting opportunity to work with cutting-edge AI environments while managing multi-tenant clusters and core services. You'll be responsible for troubleshooting, incident response, and ensuring the reliability of the platform's infrastructure. The role requires strong technical skills in DevOps practices, Kubernetes operations, and Linux systems, with opportunities to work on automation and infrastructure improvements.

This is an ideal position for someone with 2-4 years of DevOps experience who wants to deepen their Kubernetes expertise while working with advanced AI computing infrastructure. The company offers comprehensive benefits, including equity options, full healthcare coverage, and various insurance benefits, making it an attractive opportunity for career growth in the AI infrastructure space.

Working at TensorWave means being part of a team that's pushing the boundaries of AI computing capabilities while maintaining robust and reliable infrastructure. The role combines technical challenges with the opportunity to support and enable cutting-edge AI advancements, making it perfect for engineers passionate about infrastructure and emerging technologies.