Senior Site Reliability Engineer

Highlights

• Own reliability and performance of production services powering AI inference.
• Help scale Serverless platform letting customers deploy AI models on GPUs.
• Reduce operational toil via automation and safer deployments.

What they offer

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

Ideal candidate

A hands-on production owner who thrives debugging complex distributed systems and cares deeply about reliability, observability and eliminating toil through lasting automation.

Requirements

• Strong experience operating and troubleshooting production systems at scale in SRE, Production Engineering, Platform Engineering or similar role
• Strong understanding of distributed systems with ability to debug across applications, databases, queues, containers, networking and infrastructure
• Experience designing and operating observability systems using metrics, logs and distributed tracing
• Understanding of SRE principles including SLIs, SLOs, error budgets, capacity planning, incident management and reducing operational toil
• Experience with Kubernetes, containers, IaC and automated deployment practices, plus software and automation skills in Python, Go or PHP
• Strong ownership of production problems and comfort participating in engineering on-call rotation from investigation to long-term remediation