Sr. Security Harness Engineer

Sr. Security Harness Engineer Job#: 3054746

Job Description:

Security Harness Engineer AI-Powered Software Security & SDLC EngineeringLOCATIONRound Rock, TX - Building 1

WORK MODELFully onsiteOVERTIMENot required; manager approval requiredROLE SUMMARY  Design and deliver production-grade AI capabilities that strengthen software security across the SDLC, with a focus on secure agentic workflows, AI-generated code assurance, enterprise integration, and scalable engineering practices.

Key Responsibilities AI-Powered SDLC Engineering
· Design, build, and deploy AI-enabled capabilities across the software development lifecycle, including:
· Specification-driven development workflows that translate well-formed specifications into secure, verifiable implementations.
· Assurance for AI-generated code through guardrails, policy enforcement, and verification for code produced by AI assistants and agents.
· Developer-assist and verification tooling that automates security checks, including design review, dependency and software supply-chain analysis, static and dynamic analysis orchestration, and release audit support.

Enterprise Integration
· Integrate solutions with source control, CI/CD, ticketing, security scanning, identity, and internal platforms using APIs, webhooks, and protocols such as MCP (Model Context Protocol).Architecture & Solution Design
· Apply sound architecture and systems design practices, including well-defined service boundaries, appropriate data models, secure defaults, observability, and extensibility.

Stakeholder Partnership
· Partner with engineering, security, product, and leadership stakeholders to define requirements, evaluate trade-offs, and support solution adoption.

Required

Skills & Qualifications
· Demonstrated experience developing and deploying AI-based solutions in production environments with measurable business or operational impact.
· Strong programming proficiency in Python, Type Script/JavaScript, Go, or a similar language, with disciplined use of testing, code quality, and maintainability practices.
· Hands-on experience with modern AI and LLM development, including context engineering, agentic system design, context-window management, token budgeting, and evaluation of AI quality, reliability, and safety.
· Experience designing model context through agentic retrieval and search, memory architectures, enterprise data grounding, and structured outputs.
· Experience engineering agent loops, multi-agent and sub-agent orchestration, and tool/function calling.
· Ability to optimize AI workloads for production cost and latency.
· Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility.
· Experience developing or deploying applications with large-scale impact, such as a broad user base, high transaction volume, or organization-wide adoption.
· Experience integrating multiple systems and platforms, including REST or GraphQL APIs, CI/CD pipelines, cloud services, and enterprise tooling.
· Demonstrated ability to work independently across the full delivery lifecycle: requirements analysis, solution design, implementation, deployment, stakeholder engagement, and accountability for results.
· Strong communication and collaboration skills, with the ability to convey technical concepts to engineering and business audiences.
· Working knowledge of secure development practices and experience designing solutions that meet enterprise security and compliance requirements.

Preferred

Skills & Qualifications
· Experience applying AI within a security domain, such as application security, Dev Sec Ops , code analysis, threat modeling, firmware security, or software supply-chain security.
·…