Staff Software Security Engineer

Jackalope Digital LLC; Greater London; Hybrid; GBP 255,000 - 325,000; Full time

Job summary

Anthropic is seeking a seasoned Security Engineer to safeguard our AI systems across multi-cloud and on-prem environments. You will design secure-by-design workflows, implement IAM, network segmentation, mTLS, and build security controls via IaC and GitOps.

You have 8–15+ years in software engineering, strong Python or systems languages, experience with Kubernetes security, threat modeling, and mentoring. This role is based in the UK with location-based hybrid policy.

Qualifications

• 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 with DevOps and cloud automation practices such as infrastructure as code.
• Hands-on network security engineering in cloud or on-prem environments.
• Working knowledge of Kubernetes security and networking, including network policy and container hardening.

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 and secure defaults using IaC and GitOps workflows.
• Build visibility into network traffic and automated remediation where safe to do so.
• Design secure-by-design development workflows and CI/CD pipelines with Kubernetes security expertise.
• Threat model and assess risk for multi-cloud environments and mentor engineers in the Security team.

Skills

Python

Go

Rust

C/C++

DevOps

Kubernetes security

Networking

Threat modeling

Mentorship

Communication

Education

Bachelor’s degree

Tools

Kubernetes

Terraform

IaC

GitOps

Cloud platforms

Job description

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

Strong candidates may also have experience with:

• Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed
• Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security
• Built network traffic visibility or exfiltration detection systems
• Exposure to large-scale distributed training and what it demands of a network
• Led cross-functional security initiatives and navigated complex organizational dynamics
• 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: £255,000 — £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 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.

How we're different

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. And 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. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process.