Job Description
📋 Description
- Lead threat modeling and security design discussions with both platform and product teams
- Partner with product engineering to review the security architecture of new product features —
- Collaborate with Platform, Infra, and DevOps teams to build scalable preventative controls in AWS
- Evaluate and uplift security tooling across commercial, cloud-native, and AI-assisted capabilities
- Mentor engineers on how to get real leverage from AI — reviewing AI-generated code and
- Use AI to rapidly prototype automation for signal correlation, alert enrichment, and
🎯 Requirements
- Proven security engineering or infrastructure security delivery in cloud-native AWS environments.
- Deep AWS IAM, STS, cross-account roles, VPC/networking, and KMS; working knowledge of Azure and GCP.
- Strong scripting with Python and/or Go; proficient with Git and Linux; able to read/modify
- Experience directing AI coding/agent tools (e.g., Claude Code, Cursor, Copilot) to accelerate
- Experience integrating SIEM, SOAR, vulnerability management, and CSPM tooling.
- Infrastructure-as-Code experience with Terraform or CloudFormation in AWS; least-privilege review
Nice to Have
- Experience in fast-paced startups with ambiguous ownership.
- Experience building/training AI tooling for security use cases (detection authoring, alert triage
- JS/TS familiarity for DevOps tooling or plugins.
- Hands-on with CNAPP, CSPM, DSPM, KSPM tools.
- Familiarity with compliance frameworks (SOC 2, ISO 27001) and auditability considerations.
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range:
$153,000—$220,000 USD
A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
