Staff Software Engineer, AI Reliability Engineering
Anthropic · London, UK
CHECKED 2H AGO
Frontier labonsiteStaff$430k–$516k
At a glance
Highlights
- Keep Claude reliable across the full path from SDK to accelerators.
- Lead incident response for critical AI services and drive improvements.
- Improve reliability across multi-region, multi-cloud serving infrastructure.
What they offer
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A curious, brave reliability-minded engineer who thinks holistically about complex systems and builds trusted cross-team partnerships to keep critical services dependable for users.
Requirements
- Bachelor's degree or equivalent combination of education, training and/or experience in relevant field
- Strong distributed systems, infrastructure or reliability background
- Comfortable jumping into unfamiliar systems during incidents
- Holistic systems thinking across team boundaries
- Excellent communication and collaboration skills for cross-company partnering
- remote policy
- Hybrid - in office at least 25% of the time
- visa sponsorship
- Visa sponsorship available, but not guaranteed for every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google