Security Engineer Detection and Response

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.

Responsibilities:

• Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropics 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 oncall 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 largescale 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.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Locationbased 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.

How were different

We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm 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 highestimpact 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: GPT3 CircuitBased 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.