Claude has your back. AIRE has Claude’s. Help us keep Claude reliable for everyone who depends on it
AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths — every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back
We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects
Reliability here is an emergent phenomenon that transcends any single team’s boundaries, so someone has to zoom out and look at the whole picture
That’s us — and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most
Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
Design and implement monitoring and observability systems across the token path
Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers
Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
Support the reliability of safeguard model serving — critical for both site reliability and Anthropic’s safety commitments
Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
Can build lasting relationships across teams — our engagement model depends on being welcomed as teammates, not outsiders with opinions.
Think holistically about how systems compose and where the seams are.
Bring diverse experience — the team’s strength comes from people who’ve built product stacks, scaled databases, run massive distributed systems, and everything in between.
Care about users and feel ownership over outcomes, even for systems you don’t own.
Have excellent communication and collaboration skills — you’ll be partnering across the entire company.
Are curious and brave — comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don’t have deep expertise yet.
Have strong distributed systems, infrastructure, or reliability backgrounds — we’re looking for reliability-minded software engineers and SREs.
Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems.
Have experience operating large-scale model serving or training infrastructure (>1000 GPUs).
Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).
Understand ML-specific networking optimizations like RDMA and InfiniBand.
Have expertise in AI-specific observability tools and frameworks.
Have experience with chaos engineering and systematic resilience testing.
Have contributed to open-source infrastructure or ML tooling.
Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this
Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
#J-18808-Ljbffr
Senior Software Engineer (AI Reliability Engineering) in London employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team-oriented environment encourages personal growth and empowers employees to take ownership of their projects, making a meaningful impact in the tech landscape. Located in a vibrant area, we offer competitive benefits and unique opportunities for professional development, ensuring that our engineers thrive both personally and professionally.
