Staff Software Security Engineer
Anthropic · London, UK
CHECKED 3H AGO
Frontier labonsitestaff$337k–$430k
At a glance
Highlights
- Safeguard AI systems and maintain trust of users and society at large.
- Build security for large-scale AI clusters across clouds and data centers.
- Ship secure defaults so new clusters and links inherit the right boundaries.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
Ideal candidate
Seasoned engineer with 8+ years building critical systems at scale who cares about safe, trustworthy AI. Low-ego, empathetic mentor and clear communicator who thrives in fast-paced, ambiguous environments.
Requirements
- 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
- Strong software engineering skills in Python or systems language (Go, Rust, C/C++)
- Experience with DevOps and cloud automation practices such as infrastructure as code
- Hands-on network security engineering in cloud or on-prem environments
- Working knowledge of Kubernetes security and networking
- Experience with threat modeling and risk assessment for networked and multi-cloud systems
- Track record of engineering excellence through high standards, code reviews and mentorship
- Clear communicator who brings clarity and ownership to ambiguous technical problems
- Low ego, high empathy engineer who supports diverse, inclusive teams
- Experience supporting fast-paced startup engineering teams
- Bachelor's degree or equivalent combination of education, training and experience
- remote policy
- Staff expected to be in one of our offices at least 25% of the time; some roles may require more time in office.
- visa sponsorship
- We sponsor visas where possible, though not for every role and candidate; reasonable effort made if offer extended with immigration lawyer support.
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