Software Engineer, Compute Infrastructure

The client provides an integrated platform for bringing AI agents and full-stack applications to production, including backends, frontends, databases, scheduled jobs, networking, and security. They are seeking a Software Engineer, Compute Infrastructure to own and evolve compute infrastructure across cloud providers, regions, and data centers while improving performance, scalability, reliability, and security.

Responsibilities:

• Design, build, and operate large-scale platform and compute infrastructure across multiple cloud providers or bare metal
• Manage, scale, network, and troubleshoot large-scale Kubernetes clusters in production
• Develop custom infrastructure components, scheduling systems, or controllers using Go
• Plan and execute rapid, high-risk infrastructure upgrades and migrations with minimal downtime at scale
• Optimize node, pod, and container spin-up times to maximize platform performance
• Write production code on a daily basis to support custom infrastructure automation
• Participate in an on-call rotation to maintain system stability and platform reliability
• Collaborate cross-functionally with product, infrastructure, and security engineering teams to mentor peers and drive system improvements

Requirements:

• 7 to 20 years of experience in cloud/compute infrastructure engineering with a focus on Kubernetes and Go or Rust
• Proven track record of building and operating large-scale Kubernetes clusters in production
• Deep expertise in Kubernetes cluster operations, scaling, networking, and troubleshooting at scale
• Strong proficiency in Go for developing custom infrastructure components, scheduling, or controllers
• Hands-on experience planning and executing high-risk upgrades with minimal downtime
• Willingness to write code on a daily basis and participate in an on-call rotation
• Experience with Linux internals, eBPF, or virtualization technologies (such as Firecracker, gVisor, or Kata)
• BS in Computer Science or equivalent technical degree