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.

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

Responsibilities:

• Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Requirements:

• At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go or Rust
• Experience contributing to cloud security controls
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
• Clear communication skills and the ability to work collaboratively across engineering teams
• Low ego and high empathy, with a genuine interest in helping teammates succeed
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Preferred Qualifications:

• Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
• Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
• Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
• Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
• Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
• Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
• Background building or operating security systems in environments that support research workflows and rapid iteration

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

Note: Anthropic is an equal opportunity employer and welcomes applications from diverse candidates.

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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

Requirements:

• 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

Salary: The annual compensation range for this role is £240,000-£325,000 GBP.

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: £240,000-£325,000 GBP Required Skills:

• Cloud security architecture
• IAM
• Network segmentation
• Encryption controls
• Kubernetes security
• Container orchestration
• Identity management
• Infrastructure-as-Code (IaC)
• GitOps
• Threat modeling
• Risk assessment
• DevOps
• Cloud automation
• Python
• Go
• Rust
• C/C++

Preferred Skills:

• Secure-by-design workflows
• CI/CD pipelines
• Secure cloud infrastructure
• Cloud environments
• Containerization
• Identity and access management

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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 organisation 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 organisational dynamics
• Outstanding communication skills, translating technical concepts effectively across all organisational 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

Logistics

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.

Salary

The annual compensation range for this role is £240,000 - £325,000GBP.

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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 Team

The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software.

The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities.

Responsibilities:

• Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identify and remediate security gaps through code review, threat modeling, and hands-on debugging
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

You may be a good fit if you have:

• At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go or Rust
• Experience contributing to cloud security controls
• A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix
• Clear communication skills and the ability to work collaboratively across engineering teams
• Low ego and high empathy, with a genuine interest in helping teammates succeed
• Passion for AI safety and the role security engineering plays in building trustworthy AI systems

Strong candidates may also have:

• Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure
• Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers
• Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation
• Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy
• Experience with eBPF for security monitoring and enforcement, or developing kernel security policies
• Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE
• Background building or operating security systems in environments that support research workflows and rapid iteration

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

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.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of unsolicited messages or requests for sensitive information.

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