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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. We develop critical security infrastructure, build secure development practices, and partner with research and product teams to operate as a world-class security organization, keeping user safety and trust at the forefront.

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.

Requirements

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.
Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams.
Experience supporting fast-paced startup engineering teams.

Skills

Python
Go
Rust
C/C++
DevOps
Cloud automation
Infrastructure as code
Network security engineering
VPC design
Cloud firewall policy
Egress control
Private service connectivity
Network segmentation
Kubernetes security
Kubernetes networking
Network policy
Service identity
Container hardening
Threat modeling
Risk assessment
Secured Kubernetes networking at scale
CNI
Service mesh
mTLS rollouts
Interconnects
Private connectivity between cloud providers and physical data centers
Network traffic visibility
Exfiltration detection systems
Large-scale distributed training
Automated configuration
Policy enforcement
Containerized applications hardening

Location

San Francisco

Work Type

Hybrid

Experience Level

8-15+ years of software engineering experience

Education Level

Bachelor’s degree or an equivalent combination of education, training, and/or experience
A field relevant to the role as demonstrated through coursework, training, or professional experience

Salary/Compensations

£255,000—£325,000 GBP

Benefits

Competitive compensation
Benefits
Optional equity donation matching
Generous vacation
Parental leave
Flexible working hours
Lovely office space

About the Company

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.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.
We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.
We greatly value communication skills.
Anthropic is a public benefit corporation headquartered in San Francisco.

Equal Opportunity

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.