Senior DevOps Engineer

Highlights

• Build infrastructure powering real-time AI inference for millions of users.
• Scale elastic GPU fleets to meet surging customer traffic and model demand.
• Make critical inference paths faster, more resilient and easier to operate.

What they offer

• Generous paid time off including vacation, sick days and public holidays
• Meaningful stock options
• Remote-first setup with flexible hours outside core collaboration blocks
• Paid family leave including maternity, paternity and caregiver time
• Twice-yearly company retreats in inspiring locations

Ideal candidate

Calm, automation-driven infrastructure operator who thrives on high-scale, high-performance production systems and cares deeply about reliability, speed, and removing toil for engineering teams.

Requirements

• Experience as DevOps, SRE, Infrastructure or Platform Engineer running production systems at scale
• Deep Linux knowledge debugging production issues across networking, storage, performance and services
• Experience building automation, Infrastructure-as-Code, CI/CD pipelines and safe deployment workflows
• Experience operating high-availability, low-latency or high-throughput platforms
• Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS and HTTP
• Calm pragmatic communicator under pressure with bias toward automation over manual toil
• Bonus: experience operating GPU infrastructure for AI/ML inference including drivers, CUDA and capacity planning
• Bonus: familiarity with inference serving frameworks such as vLLM, TensorRT, Triton or similar