About this role

Anthropic is hiring a mid-level Security Engineer based in San Francisco, CA | Washington, DC. The posting calls out experience with Python, Kubernetes, SQL, LLMs and roughly 3+ years of relevant work. Compensation is listed at $300,000–$405,000 per year.

Role: Security Engineer
Function: security
Level: mid
Track: Individual contributor
Employment: Full-time
Location: San Francisco, CA | Washington, DC
Experience: 3+ years
Department: Security

AI Summary

Lead incident response and detection engineering efforts across Anthropic's technology stack, investigating external attacks and insider threats. Develop novel detection tooling leveraging LLMs, create playbooks, and optimize workflows. Requires 3+ years software engineering with security focus, or 5+ years detection/incident response experience.

Upgrade to Pro for AI summaries, resume match scores & career intelligence →

Job description

from Anthropic careers

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

At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams.

Responsibilities:

Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack
Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities
Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents
Review Incident Response metrics and procedures and drive continuous improvement
Work cross functionally with other security and engineering teams
Note: This position will require participation in an on-call rotation

You may be a good fit if you:

3+ years of software engineering experience, with security experience a plus and/or
5+ years of detection engineering, incident response, or threat hunting experience
A solid understanding of cloud environments and operations
Experience working with engineering teams in a SaaS environment
Exceptional communication and collaboration skills
An ability to lead projects with little guidance
The ability to pick up new languages and technologies quickly
Experience handling security incidents and investigating anomalies as part of a team
Knowledge of EDR, SIEM, SOAR, or related security tools

Strong candidates may also have experience with:

Experience performing security operations or investigations involving large-scale Kubernetes environments
A high level of proficiency in Python and query languages such as SQL
Experience analyzing attack behavior and prototyping high quality detections
Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics
Experience contributing to a high growth startup environment

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 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:

$300,000—$405,000 USD

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.

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. 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.