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# Security Automation Engineer

- **Company:** American CyberSystems
- **Location:** Irving, TX, United States (Remote available)
- **Salary:** $145,600.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Cloud Computing Security, Cloud Engineering, Code Review, Programming Tools, Github, Python (Programming Language), Automation of Marketing, Open Web Application Security, Systems Development Life Cycle, Secure Coding, Software Engineering, Systems Integration, TypeScript, Policy as Code, Large Language Models, Software Security, Generative AI, Containerization, Gitlab-ci, Kubernetes, Data Pipelines, Api Management, Docker, Security Orchestration, Automation & Response, Jenkins, Static Application Security Testing, Vulnerability Analysis, Golang, Microservices, Dynamic Application Security Testing
- **Published:** September 4, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1023759&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Language Fluency: Demonstrated polyglot proficiency with deep, hands-on production experience in Python and Java, plus fluency in at least one modern language (e.g., Golang, Rust, or JavaScript/TypeScript).
 * Cloud-Native Expertise: Strong understanding of cloud-native architectures, microservices, containerization (Docker, Kubernetes), and CI/CD automation platforms (e.g., GitHub Actions, GitLab CI, Jenkins).
 * GenAI Applications: Practical experience implementing or integrating GenAI-enabled solutions, LLMs, or AI-assisted development tools to solve software engineering or security challenges.
 * Application Security Fundamentals: Familiarity with modern code scanning frameworks, vulnerability detection mechanisms (SAST, DAST, dependency tracking), and secure coding practices (OWASP Top 10, CWE).

## Description

* Automated Vulnerability Detection: Design, integrate, and maintain automated static and dynamic code scanning tooling (SAST, DAST, SCA) across enterprise CI/CD pipelines to detect flaws early in the software development lifecycle (SDLC).
 * Enterprise Tooling & Governance: Build scalable internal developer tools, custom rulesets, API integrations, and policy-as-code frameworks that enable security modernization across multiple technology portfolios without sacrificing developer productivity.
 * GenAI Implementation: Leverage Generative AI and LLM-powered tools to accelerate vulnerability triage, context-aware false positive reduction, and automated code remediation workflows.
 * Cloud-Native Security: Partner with engineering teams to embed automated security controls directly into containerized, microservices-based, and cloud-native application stacks.
 * Compliance & Data Protection: Enhance data regulatory posture and security compliance by securing services and data pipelines that handle critical enterprise workloads.
 * Operational Streamlining: Eliminate manual security reviews and friction through continuous automation, actionable developer telemetry, and standardized security guardrails.


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