- Location: Dearborn, Michigan
- Type: Contract
- Job #105341
Position: Front-End Software Engineer
Location: Dearborn, MI
Employment Type: Full-Time W2 Contract
Schedule: 8:00 AM - 5:00 PM EST
Pay: $60.00 per hour
Position Overview We are seeking a Software Engineer with a strong combination of AI experience and end-to-end CI/CD pipeline expertise to join our engineering enablement team.
In this role, you will help drive AI adoption across engineering teams, support users of modern AI development tools, and design and maintain CI/CD solutions within the GitHub ecosystem. The ideal candidate will bring a blend of software development experience, DevOps knowledge, troubleshooting skills, and a passion for improving developer productivity.
Key Responsibilities - Drive AI adoption and enablement across engineering teams.
- Support and educate users on AI development tools including Microsoft Copilot, GitHub Copilot, Cursor, and QODO.
- Contribute to AI integration and prompt engineering initiatives.
- Troubleshoot technical issues and provide user support for engineering tools and platforms.
- Design, implement, deploy, and maintain CI/CD pipelines.
- Support modernization efforts, including migration from Jenkins to GitHub Actions.
- Develop and support engineering solutions using modern software development practices.
- Contribute to engineering dashboards, reporting, and DevOps metrics initiatives.
- Collaborate with globally distributed teams across North America, Mexico, and India.
Required Qualifications - 5+ years of software engineering experience.
- Experience with AI tools, AI enablement, or AI integration within software development workflows.
- Experience with prompt engineering and practical AI applications.
- Strong experience designing, implementing, and supporting CI/CD pipelines.
- Solid understanding of DevOps principles and the software delivery lifecycle.
- Experience troubleshooting technical issues and supporting engineering teams.
- Strong analytical, problem-solving, and communication skills.
Preferred Technical Skills - Java
- Spring Boot
- Python
- GitHub ecosystem
- GitHub Actions
Nice to Have - Experience with DevOps dashboards, engineering metrics, and reporting.
- Experience working with engineering productivity tools and developer enablement initiatives.
Technical Environment - GitHub
- GitHub Actions
- Jenkins (current platform)
- Cloud-based build environments
Successful candidates will demonstrate: - Strong troubleshooting and root-cause analysis skills.
- Practical experience with AI tools and developer productivity solutions.
- Deep understanding of CI/CD pipeline design and implementation.
- Ability to balance software development and operational support responsibilities.
- Strong collaboration skills in a globally distributed team environment.
- A passion for helping engineering teams improve efficiency and effectiveness.
Candidate Skill Priorities - AI tool adoption and enablement experience (GitHub Copilot, Microsoft Copilot, Cursor, QODO, etc.)
- Prompt engineering or AI integration experience
- CI/CD pipeline design and implementation
- GitHub Actions and GitHub ecosystem experience
- Jenkins experience
- Java, Spring Boot, or Python background
- Strong troubleshooting and support experience
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