2 дня назад
Staff Software Engineer, Infrastructure (Distributed Systems)
325 000 - 390 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Infrastructure (Distributed Systems) (AI infrastructure): Building and operating distributed systems, data pipelines, Kubernetes clusters, databases, observability, and developer tooling for training and serving AI models with an accent on architecture, reliability, scalability, and security. Focus on leading complex multi-month infrastructure projects, designing systems for growing compute needs, and establishing operational standards for incident response and on-call rotations.
Location: London, UK; hybrid policy requiring staff to be in an office at least 25% of the time
Annual salary: £325,000–£390,000 GBP
Company
Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
- Scope and lead complex, ambiguous, multi-month infrastructure projects from initial definition through production.
- Make architectural decisions for distributed systems and infrastructure used by engineering, research, and product teams.
- Translate research and product compute needs into technical designs and align technical direction across teams.
- Own the reliability, scalability, and security of systems as usage and complexity grow.
- Set infrastructure strategy and standards, including incident response, postmortems, and on-call rotations.
- Mentor engineers and raise the team’s technical bar.
Requirements
- Experience designing, building, and operating large-scale distributed systems or production infrastructure.
- Independent delivery of complex, ambiguous, multi-month technical projects.
- Experience making architectural decisions adopted by other engineers and teams.
- Strong software engineering fundamentals and proficiency in Python, Rust, Go, Java, or another programming language.
- Experience with modern cloud infrastructure, Kubernetes, and infrastructure-as-code on AWS and/or GCP.
- Bachelor’s degree or equivalent education, training, or professional experience, with strong written and verbal communication skills.
Nice to have
- 10+ years of software engineering experience, excluding internships.
- Machine learning infrastructure experience with GPUs, TPUs, Trainium, or networking such as NCCL.
- Low-level systems experience, including Linux kernel tuning or eBPF.
- Security or privacy engineering experience and prior technical leadership or mentoring experience.
Culture & Benefits
- Collaborative work on large-scale AI research and infrastructure initiatives.
- Flexible working hours and a hybrid office environment.
- Competitive compensation with optional equity donation matching.
- Generous vacation and parental leave.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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