Sr. Security Harness Engineer

Job#: 3054746
Job Description:
Security Harness Engineer
AI-Powered Software Security & SDLC Engineering
LOCATION
Round Rock, TX - Building 1
WORK MODEL
Fully onsite
OVERTIME
Not required; manager approval required
ROLE 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, TypeScript/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, DevSecOps, code analysis, threat modeling, firmware security, or software supply-chain security. Familiarity with secure-by-design and secure-by-default principles and relevant frameworks, including OWASP, the OWASP Top 10 for LLM Applications, and NIST SSDF. Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants such as Claude Code, GitHub Copilot, Cursor, or Devin.

Experience with AI evaluation frameworks, guardrails, prompt and response caching strategies, and LLMOps in production. Bachelor's or master's degree in computer science or a related field, or equivalent practical experience. Ideal Candidate Profile
The ideal candidate is a senior-level software engineer who combines deep AI systems expertise with secure software development and enterprise-scale platform experience.

This individual can work independently, influence technical direction, and build AI-enabled security solutions that improve developer productivity while strengthening software assurance and governance. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages.

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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure.

Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer.

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