Security Engineer, Detection & Response

Anthropic$300K — $405K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience; security experience preferred
  • 5+ years in detection engineering, incident response, or threat hunting
  • Solid understanding of cloud environments and operations
  • Experience in a SaaS environment
  • Exceptional communication and collaboration skills
  • Ability to lead projects independently
  • Proficiency in picking up new languages and technologies quickly
  • Experience with security tools like EDR, SIEM, or SOAR

Responsibilities

  • Lead cybersecurity incident response across multiple domains
  • Develop and deploy innovative tools using Large Language Models
  • Create and optimize detection playbooks and workflows
  • Review and improve Incident Response metrics and procedures
  • Collaborate cross-functionally with security and engineering teams
  • Participate in an on-call rotation

Benefits

  • Competitive compensation package including equity
  • Generous vacation and parental leave
  • Flexible working hours
  • Opportunity for in-office collaboration with colleagues
  • Supportive visa sponsorship process
Full Job Description
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 [redacted].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.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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