Jobs and Careers

Embedded Systems DevOps Engineer (Engineer Software 4) - 29063

HII

United Statesfull_timeVerifiedPosted 22 Jun 2026

💰 $145,000/yr($117,262/yr – $145,000/yr)

About the role

Requisition Number: 29063

Required Travel: 0 - 10%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $117,262.00 - $145,000.00

Security Clearance: Ability to Obtain

Level of Experience: Senior HI

This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations.

HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe.

Leadership Mindset at HII – Mission Technologies

Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:

Know & Grow Your People – Commit to learning and supporting team success.
Build Relationships – Communicate openly, collaborate well, and build trust.
Take Ownership – Deliver on commitments and take pride in your work.
Customer First – Focus on the mission and those we serve.
Shape the Future – Bring ideas, curiosity, and continuous improvement.
Act with Urgency – Take initiative and follow through with purpose.

These capabilities guide how all employees contribute to our shared success across Mission Technologies.

Job Description

HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and we are a Forbes Best Large Employer for 2023!!!

Are you ready to take your career to the next level? We are seeking talented and motivated Software Developers to join our team!  

Position Summary:
HII Mission Technologies is seeking a highly skilled Subject Matter Expert (SME) in Embedded Systems DevOps (Software Engineer 4) support and upskill our project teams. The primary goal of this role is to establish modern DevOps practices, design pipeline automation patterns, and drive a cultural pivot toward modernized software engineering. You will serve as a mentor for project teams developing embedded systems for ground vehicle platforms, helping them streamline their development lifecycles and leverage emerging Artificial Intelligence (AI) capabilities.

This role is on site in Warren, MI and cannot be done remotely.

Come support our work with US Army's Gound Vehicle System Center and join a world class team of groundbreaking scientists and engineers!

Details below!

Essential Job Responsibilities

Pipeline Design & Standardization: Establish, document, and maintain DevOps pipeline automation design patterns tailored for embedded systems with software and hardware in the loop testing, ensuring alignment with industry best practices and organizational modernization goals.
Team Bootstrapping & Architecture: Assist project teams in setting up their baseline automation architecture and developing pipelines that leverage standardized design patterns while addressing their specific project constraints.
Mentorship & Upskilling: Mentor local project teams to drive the adoption of DevOps practices. Support a cultural pivot toward modern software engineering practices, helping to upskill and organically grow internal team capabilities.
Operational Support & Debugging: Act as a senior technical escalation point to assist development teams in debugging, troubleshooting, and maintaining pipeline automation infrastructure when necessary.
AI Integration & Innovation: Investigate, propose, and implement strategies for embedding AI capabilities into project workflows and pipeline automation to achieve measurable capability and efficiency gains (e.g., AI-assisted code reviews, intelligent test selection, automated debugging).