Senior Software Security Engineer

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex multi cloud environments Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also have experience with: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £240,000 £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one ... (truncated, view full listing at source)