Senior Software Security Engineer

SignalAI

New York (NY)

Hybrid

USD 320,000 - 405,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Security Engineering lead to protect our AI systems. You will build identity and secret management for multi-cloud environments, reinforce RBAC-based controls, and design secure development frameworks that make secure coding the default.

You will harden CI/CD pipelines and drive threat modeling and remediation across teams. The role emphasizes hands-on security engineering, cross-functional collaboration, and a commitment to AI safety.

Qualifications

At least 5 years of software engineering experience implementing security-relevant systems in production.
Bachelor’s degree in Computer Science or equivalent.
Strong programming skills in Python or a systems language such as Go or Rust.
Experience contributing to cloud security controls.
A track record of owning problems end to end, from issue to fix.
Clear communication and collaboration across engineering teams.
Interest in AI safety and trustworthy systems.

Responsibilities

Build and maintain identity and secrets management systems across multi-clouds.
Contribute to cluster security controls including RBAC and namespace isolation.
Design and implement cloud security controls across multi-cloud and on-prem.
Develop secure development frameworks and service authentication tooling.
Harden CI/CD pipelines against supply chain attacks with automated policy enforcement.
Identify gaps via code review, threat modeling, and hands-on debugging.
Advance continuous cloud security posture management with IaC scanning and remediation.

Skills

Security engineering

Python

Rust

Threat modeling

Code review

Cloud security

RBAC

SAST

Dependency scanning

Education

Bachelor's degree in Computer Science

Tools

Kubernetes

OAuth 2.0 / OIDC / SAML / SPIFFE

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 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

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.

Annual Salary

$320,000 - $405,000 USD

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 emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.