Senior Security Engineer, FedRAMP

8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS.

Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows.

Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work.

Working knowledge of identity and access management design and enforcement in large cloud environments.

Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through.

Experience integrating security automation into CI/CD pipelines and SecOps workflows.

Prior experience supporting federal audits or 3PAO engagements.

Knowledge of SaaS security operations and monitoring at scale.

Experience driving automation in security operations, compliance tracking, and evidence management.

Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers.

Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits.

Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements.

Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities.

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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.

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.