Application Security Engineer II

Abnormal Security Corp.; United States; Remote; USD 130,000 - 187,000; Full time

Job summary

Abnormal AI is seeking an Application Security Engineer II to secure our AWS-based platform with LLM-powered features, agentic workflows, MCP connectors, and the model supply chain. This role focuses on integrating security into every phase of the software development lifecycle and coaching engineers on secure coding.

You will own security architecture, run threat modeling, build security tooling for CI/CD, deploy automated tests, and partner with engineering, DevOps, and product teams.

Qualifications

• 5+ years in application security engineering roles in AWS or cloud-native environments.
• Experience securing AI/ML-powered systems or ramp on prompt injection and model supply chain risks.
• Strong programming in Python, Go, Java, or JavaScript/TypeScript.
• Security focus on OWASP Top 10, auth, cryptography, and secure API design in microservices/cloud-native.
• Hands-on threat modeling and security architecture reviews.
• Ability to influence across engineering, DevOps, and product with clear written communication.

Responsibilities

• Lead threat modeling and security architecture reviews for AI-powered features.
• Architect, build, and maintain security tooling for secure CI/CD pipelines.
• Design and deploy automated security testing early in development.
• Contribute hands-on during security incidents and improve response processes.
• Coach developers on secure coding and threat modeling for AI-native systems.
• Define and track security posture metrics with dashboards and reports.

Skills

Application security

AWS security

Programming (Python/Go/Java/TS)

Web app security

Threat modeling

Cross-functional collaboration

Tools

Veracode

Checkmarx

SonarQube

Wiz

Semgrep

Burp Suite

Job description

Location: United States

About the Role

Abnormal AI is looking for an Application Security Engineer II to secure the AI-powered systems at the core of our AWS-based platform (LLM-integrated features, agentic workflows, MCP connectors, and the model supply chain) against threats like prompt injection at production scale. This is an individual contributor role that blends deep application security expertise with strong engineering fundamentals. You'll focus on integrating security into every phase of our software development lifecycle, conducting comprehensive security reviews, and partnering with engineering teams to build defensible architectures.

You will own the security architecture and development of secure coding practices while ensuring security is a foundational partner to our engineering stakeholders. You'll coach developers across the engineering organization on application security principles, act as a technical liaison across teams, and contribute directly to keeping our applications and customers secure. This role reports to the Director of Security Engineering.

What you will do

• Lead threat modeling and security architecture reviews with engineering teams by translating security risks into concrete development actions, with particular focus on AI-powered features (LLM integrations, agentic workflows, MCP connectors).
• Architect, build, and maintain security tooling and integrations that make secure development the default in our CI/CD pipelines.
• Design and deploy automated security testing to identify vulnerabilities early in the development process.
• Serve as a hands‑on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes.
• Coach developers on secure coding, security architecture, and threat modeling for AI-native systems.
• Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends.

Must Haves

• 5+ years of experience in application security engineering roles, ideally securing AWS or comparable cloud-native environments with modern development practices.
• Experience securing AI/ML-powered systems, or a clear ability to ramp fast on prompt injection, model supply chain, and agentic-workflow risks.
• Strong programming skills in Python, Go, Java, or JavaScript/TypeScript. You write and read production code, not just review it.
• Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design, including securing modern architectures (microservices, containers, cloud-native).
• Hands‑on experience threat modeling and running security architecture reviews.
• Proven ability to influence and collaborate cross‑functionally with engineering, DevOps, and product teams, with strong written communication.

Nice to Have

• Experience working in fast‑paced or startup environments, comfortable defining scope in a growing security program.
• Hands‑on experience with commercial security tools (Veracode, Checkmarx, SonarQube, Wiz, Semgrep, Burp Suite)
• Prior experience building security telemetry pipelines or vulnerability management frameworks.
• Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability.
• Familiarity with bug bounty programs and vulnerability disclosure processes.

#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:

$130,100—$187,000 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.