Devsecops Engineer

Job Title: Lead DevOps Engineer - Embedded Ground Vehicle Systems

Job Description

This role leads the implementation of modern DevOps practices across embedded software development teams supporting ground vehicle platforms. You will design and standardize CI/CD automation for hardware- and software-in-the-loop environments, drive cultural transformation toward agile and DevOps-based engineering models, and mentor teams as they modernize their development lifecycle. The position offers the opportunity to shape technical architectures, integrate AI-assisted development tools, and directly influence software delivery efficiency, quality, and scalability for next-generation ground vehicle programs.

Responsibilities

• Design and standardize CI/CD pipeline automation patterns tailored for embedded systems, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.

• Establish scalable DevOps architectures that support complex embedded software programs and align automation pipelines with program constraints and requirements.

• Enable and coach engineering teams to implement, customize, and maintain CI/CD pipelines that support multi-disciplinary development workflows.

• Mentor embedded software and systems engineering teams to adopt modern software development practices, including agile, DevOps, and continuous delivery principles.

• Act as a technical escalation point for troubleshooting CI/CD pipeline issues, including debugging infrastructure, resolving automation failures, and optimizing build and test processes.

• Maintain, enhance, and secure automation systems, including containerized environments, infrastructure-as-code configurations, and deployment workflows.

• Drive cultural transformation from legacy, document-heavy workflows toward agile, DevOps-based engineering models focused on automation, feedback, and continuous improvement.

• Evaluate, pilot, and integrate AI capabilities such as AI-assisted code review, automated debugging, and intelligent test selection into development workflows.

• Develop and maintain technical documentation, reference architectures, and best-practice guides for DevOps tooling, pipelines, and infrastructure.

• Create and deliver training materials, workshops, and knowledge-sharing sessions to support long-term scalability and consistent adoption of DevOps practices.

• Collaborate closely with software, systems, and hardware teams to ensure DevOps solutions meet the needs of embedded ground vehicle platforms.

• Support compliance and safety-critical requirements by aligning pipelines and processes with relevant frameworks and standards.

• Continuously assess and improve pipeline performance, reliability, and security, including container security and infrastructure hardening.

Essential Skills

• Strong understanding of embedded systems architecture and communication protocols such as CAN, LIN, and Ethernet.

• Hands-on embedded software development experience using languages such as C and C++.

• Proven experience designing, building, and maintaining CI/CD pipelines, with GitLab preferred.

• Experience working with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing environments.

• Proficiency with Infrastructure as Code tools such as Terraform and Ansible.

• Strong Linux experience combined with scripting skills in Python and Bash.

• Experience with containerization technologies such as Docker and Kubernetes, including container security considerations.

• Demonstrated ability to influence teams and lead technical transformation initiatives in complex engineering environments.

• Experience building and maintaining automated pipelines in complex, multi-disciplinary engineering environments, particularly those involving embedded systems.

• Familiarity with compliance frameworks for safety-critical systems, including automotive or defense contexts.

• Strong communication skills with the ability to translate DevOps concepts for traditional engineering teams.

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

• At least 3 years of experience in embedded systems combined with DevOps or release engineering responsibilities.

Additional Skills & Qualifications

• Experience with ROS and AUTOSAR or similar automotive middleware and frameworks.

• Familiarity with AI-assisted development tools such as Copilot and large language model (LLM) workflows.

• Experience in defense or Army programs, particularly involving ground vehicle systems.

• Knowledge of safety-critical standards in automotive or defense domains, including frameworks such as MIL-STD-882E or similar.

• Exposure to autonomy, advanced embedded systems, and AI integration in software development workflows.

• Experience with container security practices and secure DevOps (DevSecOps) approaches.

• Experience with ground vehicle systems, including CAN, LIN, and related automotive communication protocols.

• Interest in mentoring, knowledge sharing, and driving continuous process improvement across engineering teams.

Work Environment

The role operates in an engineering-focused environment supporting embedded systems for ground vehicle platforms. You will collaborate closely with software, systems, and hardware teams in a fast-paced modernization initiative that is transitioning from legacy workflows to DevOps-driven delivery. The culture emphasizes mentorship, knowledge sharing, and continuous process improvement, with a strong focus on automation, quality, and scalability. The position is likely onsite or hybrid in proximity to a defense or vehicle research and development ecosystem similar to a GVSC or Detroit Arsenal-type environment, providing exposure to cutting-edge embedded systems, autonomy, and AI integration.

Job Type & Location

This is a Contract to Hire position based out of Troy, MI.

Pay and Benefits

The pay range for this position is $65.00 - $87.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Troy,MI.

Application Deadline

This position is anticipated to close on Aug 18, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on click.appcast.io for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.