Senior Software Engineer (Agentic SDLC)

Ford Motor Company•Dearborn, MI
•$115,000 - $192,900•Hybrid

About The Position

Ford Motor Company is hiring a Senior Software Engineer to design and develop a scalable microservices platform and AI-driven software development processes. The role focuses on applying AI coding agents and agentic workflows to improve development efficiency, while establishing specifications, architectural guidance, and quality controls to ensure AI-generated code is reliable, secure, and maintainable. The engineer will build scalable backend services and APIs, evaluate emerging AI tools and practices, address operational issues, and review code for quality and accuracy. The position also includes leading and mentoring software engineers and designing, building, and executing ADLC processes. This is a hybrid position based in Dearborn, Michigan, requiring employees to work onsite four or more days per week and to live within a reasonable commuting distance. The salary range is $115,000–$192,900, with the final salary determined by skills, experience, scope, responsibility, and market value. Visa sponsorship is not available.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 5–7 years of software development experience, primarily focused on Java, Spring Boot, and other open-source technologies.
  • 2–3 years of experience with GCP products such as Cloud Run, Apigee, Pub/Sub, Cloud Tasks or Schedulers, and Google Kubernetes Engine.
  • Experience with cloud technologies.
  • Extensive hands-on experience with microservices and advanced Java concepts.
  • Expertise with Spring Boot and Spring Cloud frameworks.
  • Expertise with SQL and NoSQL databases, including cloud-native databases such as Cloud SQL, AlloyDB, Bigtable, and BigQuery.
  • Expertise writing unit tests using JUnit, TestNG, and RestAssured.
  • Experience with the Agile software development lifecycle, including Scaled Agile.
  • Experience using Agile product management tools such as JIRA.
  • Experience with collaboration tools such as GitHub and Bitbucket.
  • Experience with DevOps tools such as Jenkins or Tekton.
  • Experience with infrastructure as code using Terraform.
  • Experience with AI tool sets such as GitHub Copilot and OpenAI or Google LLMs, particularly for improving developer efficiency.
  • Must be legally authorized to work in the United States.
  • Must live within a reasonable commuting distance of Dearborn, Michigan.

Responsibilities

  • Collaborate with 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.
  • Use 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.
  • Review code to maintain software quality and functional accuracy 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 software engineers, fostering AI technical excellence, innovation, continuous improvement, mentorship, and best-practice sharing.
  • Design, build, and execute ADLC processes.

Benefits

  • Immediate medical, dental, vision, and prescription drug coverage.
  • Paid parental leave, new parent ramp-up programs, and subsidized backup child care.
  • Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
  • Vehicle discount program for employees and family members, and management leases.
  • Tuition assistance.
  • Employee resource groups.
  • Paid time off for individual and team community service.
  • Vacation time, sick/personal time, and paid holidays, including time between Christmas Eve and New Year’s Day.
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