At a Glance
Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform.
You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment.
You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation.
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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.
Source: Abnormal AI careers · View original posting
Industry
computer & network security
Employees
1,100
372 engineers
Compiled from public job postings, careers pages, and company materials. Data may not reflect current state — verify during interviews.
Security Philosophy
Security Team
Section 2 — People and structure. Org model: Public postings indicate a technically embedded/partnering model: AppSec leads threat modeling and architecture reviews with engineering teams, builds CI/CD integrations, and coaches developers; a formal centralized-versus-embedded designation is not publicly available (Abnormal AI Application Security Engineer II job posting, updated) [1]. reviewed postings do not state whether AppSec reports to the CISO, CTO, engineering, or another executive. Leaders: No publicly verified AppSec leader identified in the available results. Team size estimate: No reliable public employee-count result was available. Search query used: “Abnormal Security AppSec security champions SAST SCA”. Active AppSec job postings: At least 1 directly titled Application Security Engineer II was found on Abnormal AI’s careers site, updated [1]. Related senior AppSec postings were also indexed by third-party job sites, including Senior Application Security Engineer, but the total active count cannot be verified from the available results [4][8]. Common skill/tool patterns: threat modeling; security architecture reviews; secure coding; SAST, DAST, SCA, and IAST integrations; automated security testing; secure CI/CD; Infrastructure-as-Code controls; vulnerability and posture metrics; AWS; AI/LLM, agentic workflows, MCP connectors, and model supply-chain security [1][4][8]
Key Initiatives
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