Related skills
postgres kubernetes google cloud go openai📋 Description
- Own observability and lifecycle management of AI features
- Build tooling to develop, monitor, and optimize LLM-powered features
- Design closed-loop evaluation pipelines to validate prompt changes
- Develop metrics and dashboards to track LLM usage (cost, tokens, latency)
- Create systems tying user feedback to prompts and LLM calls
- Collaborate with engineering teams to provide tooling and visibility
🎯 Requirements
- 4+ years backend/DevOps/ML Ops/SRE experience; Go proficiency
- Hands-on observability, metrics, monitoring experience
- AI enthusiast with focus on productivity impact
- Metrics-driven; build dashboards and derive insights
- Systems thinker; design pipelines and scalable infra
- Ownership mindset; bias to action; growth mindset
🎁 Benefits
- Medical, dental, vision, mental health, fertility benefits
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- 20 days PTO, 12 holidays, 2 floating holidays, flexible sick time
- Generous stipends for caregiving, pet care, wellness, home office
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