Senior Software Security Engineer
Share
Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 320000 - 405000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Anthropic
Anthropics 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 Anthropics 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 teams 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
- Bachelors 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
Deadline to apply:None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles 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:
$320000 - $405000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
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 arent 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 youre interested in this work. We think AI systems like the ones were 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.
Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
Required Experience:
Senior IC
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- AWS
- Data Structures
- Software Development
- Java
- Distributed Systems
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
