Related skills
distributed systems monitoring infrastructure observability gpu📋 Description
- Develop SLOs for LLM serving and training
- Design and implement monitoring for availability and latency
- Build high-availability model serving infra for millions of users
- Create automated failover and recovery across regions and clouds
- Lead incident response for critical AI services
- Optimize costs focusing on GPU/TPU/Trainium utilization
🎯 Requirements
- Extensive experience with distributed systems observability and monitoring at scale
- Experience operating AI infrastructure, including model serving, batch inference, and training
- Proven track record implementing and maintaining SLO/SLA frameworks
- Comfort with traditional metrics (latency, availability) and AI metrics
- Experience with chaos engineering and resilience testing
- Bridge the gap between ML engineers and infrastructure teams
🎁 Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Dublin office with a collaborative workspace
- Global, mission-driven culture
🛃 Visa sponsorship
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