Staff Software Security Engineer - AI Cloud Security

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

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.