Staff Software Security Engineer

Impactribe Ltd; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Anthropic in London is seeking a Staff Software Security Engineer to safeguard AI systems across multi-cloud and on-prem environments. You will lead security engineering efforts, implement secure defaults, and drive secure development practices with a focus on identity, network segmentation, and encryption.

You will mentor engineers, shape threat models, and collaborate with research, product, and infrastructure teams to embed security into day-to-day engineering from design to deployment.

Qualifications

• Senior security engineering experience in large-scale systems.
• Strong Python and systems language skills.
• Hands-on cloud and network security with DevOps practices.

Responsibilities

• Build security for large-scale AI clusters across clouds and data centers, incl. IAM, segmentation, and encryption.
• Design and implement network security controls: default-deny, multi-cloud segmentation, private connectivity, firewall policy, and mTLS.
• Deliver secure defaults via infrastructure as code and GitOps workflows for new clusters and links.
• Create visibility into network traffic and boundary drift with automated remediation where safe.
• Shape secure-by-design development workflows and CI/CD pipelines with Kubernetes security and identity management.
• Threat model and assess risk for multi-cloud networks and collaborate with infra teams at design time.
• Mentor engineers and contribute to hiring and growth of the Security team.

Skills

8-15+ years experience

Python

Go/Rust/C/C++

DevOps

Cloud automation

Kubernetes security

Network security

Threat modeling

Mentorship

Communication

Terraform

GitOps

Tools

Terraform

GitOps

Cloud services (AWS/GCP/Azure)

Job description

Staff Software Security Engineer

London, UK Apply

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 across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls
• Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity
• Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries
• Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so
• Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management
• Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one
• Mentor engineers and contribute to hiring and growth of the Security team

You may be a good fit if you:

• Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
• Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code
• Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation
• Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening
• Experience with threat modeling and risk assessment for networked and multi cloud systems
• Track record of driving engineering excellence through high standards, constructive code reviews and mentorship
• Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems