Senior Software Engineer - Agentic SDLC

Senior Software Engineer -  at Ford Motor Company in Dearborn, Michigan:
 

Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn office. Hence, the employee must live within a reasonable commuting distance from Dearborn, MI. 

Qualifications:

• Bachelor's degree in Computer Science or related field 
• 5-7 years of experience in software development primarily focused on Java, Spring Boot and other open-source technologies
• 2-3 years experience with GCP products like Cloud run, Apigee, Pub-sub, Cloud tasks/schedulers and Google Kubernetes engine
• Experience in cloud technologies 
• Extensive hands-on experience in micro services using advanced Java concepts
• Expertise in Spring boot and Spring cloud frameworks
• Expertise with SQL and No-SQL databases including cloud native ones like Cloud SQL, Alloy DB, Big table and Big query
• Expertise in writing unit test cases using Junit, TestNG and RestAssured
• Experience with agile software development lifecycle including Scaled Agile
• Experience in utilizing Agile product management tools like JIRA
• Experience in collaborative tools like GitHub, Bitbucket etc.
• Experience in DevOps: Jenkins/Tekton etc.
• Experience with Infrastructure as code: Terraform
• Experience with AI tool sets like Github Co-pilot, LLM Models from Open AI, Google etc specifically around improvement in developer efficiency

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision, and prescription drug coverage
• Paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day

This position is a salary grade 8 and ranges from $115,00-$192,900.    
 

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid with a requirement to be onsite four or more days per week.

#LI-Hybrid

#LI-GR1

Responsibilities:

• Collaborate with cross-functional teams, including Product Managers, Architects, DevOps, and QA, to design and develop a scalable microservices platform.
• Develop clear, testable specifications, acceptance criteria, and architectural guidelines that enable AI coding agents to generate reliable code.
• Leverage AI coding agents, reusable prompts, and repository conventions to streamline development workflows.
• Establish quality controls for AI-generated code, including automated testing, security scanning, and static analysis.
• Evaluate emerging AI tools and practices, including agentic workflows, MCP integrations, and evaluation frameworks
• Handle operational issues with little or no oversight.
• Actively review code to ensure the software quality and functional accuracy is maintained across the team.
• Design, implement, and enrich AI driven software development processes
• Evaluate AI-generated code for accuracy, performance, and clarity.
• Develop scalable backend services and APIs to support AI functionality using technologies such as Python
• Lead, guide, and empower a team of skilled software engineers, fostering a culture of AI technical excellence, AI innovation, and continuous improvement through experience learning, mentorship, and best practice evangelization.
• Experience designing, building, and executing ADLC processes.