The Role
Designs and develops resilient, event-driven platform solutions, microservices, and API integrations across enterprise systems. Partners with stakeholders to deliver technology solutions, prototypes, AI-powered agents, RAG architectures, and workflow automation. Builds cloud-native solutions on Google Cloud Platform and champions DevSecOps, CI/CD, automated testing, observability, monitoring, and continuous improvement.
Summary Generated by Built In
The Integration and Platform Engineering team serves as the communication backbone across Ford Credit systems. We are looking for an innovative and hands-on engineer who combines strong software engineering fundamentals with a passion for AI-enabled solutions.
In this role, you will design and develop scalable, fault-tolerant, and highly resilient services while working directly with stakeholders to solve business problems through technology. You will also help drive adoption of AI-powered automation and intelligent workflows using modern cloud and platform technologies.
What You Will Do
Qualifications- Design and develop event-driven, scalable, reliable, and resilient platform solutions.
- Build and maintain microservices and API-based integrations across enterprise applications.
- Collaborate with product and technology stakeholders to translate business requirements into technical solutions.
- Partner directly with business teams to rapidly prototype, validate, and deliver innovative solutions.
- Develop and integrate AI-powered agents and automation capabilities into operational workflows.
- Implement Retrieval-Augmented Generation (RAG) and agent-based architectures using enterprise AI platforms.
- Contribute to cloud-based solutions leveraging Google Cloud Platform (GCP).
- Champion DevSecOps practices, including CI/CD, automated testing, security scanning, monitoring, and observability.
- Develop dashboards, alerts, and platform health monitoring to ensure application reliability and availability.
- Drive continuous improvement through automation, experimentation, and adoption of emerging technologies.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, MCA, or a related technical field.
- 5+ years of software development experience in enterprise applications.
- Strong proficiency in Java, Spring Boot, and Node.js.
- Experience designing and implementing microservice architectures.
- Minimum 3+ years of experience developing SOAP and/or REST APIs.
- Hands-on experience building cloud-native solutions on Google Cloud Platform (GCP).
- Experience with event-driven architecture and asynchronous integration patterns.
- Strong understanding of DevSecOps principles and CI/CD practices.
- Experience implementing automated testing strategies including unit, integration, regression, and performance testing.
- Hands-on experience with Test-Driven Development (TDD), JUnit, and Selenium.
- Experience developing AI agents or workflow automation solutions.
- Experience implementing RAG-based solutions using enterprise AI platforms.
- Familiarity with Claude ecosystem tools and AI orchestration frameworks.
- Experience with observability and monitoring tools.
- Knowledge of code quality and security tools such as SonarQube, Checkmarx, 42Crunch, or equivalent.
- Experience working directly with business stakeholders to identify problems and rapidly prototype solutions.
#LI- MF2
Skills Required
- Bachelor's degree in Computer Science, Engineering, MCA, or a related technical field
- 5+ years of software development experience in enterprise applications
- Strong proficiency in Java, Spring Boot, and Node.js
- Experience designing and implementing microservice architectures
- 3+ years of experience developing SOAP and/or REST APIs
- Hands-on experience building cloud-native solutions on Google Cloud Platform
- Experience with event-driven architecture and asynchronous integration patterns
- Strong understanding of DevSecOps principles and CI/CD practices
- Experience implementing automated unit, integration, regression, and performance testing strategies
- Hands-on experience with Test-Driven Development, JUnit, and Selenium
- Experience developing AI agents or workflow automation solutions
- Experience implementing Retrieval-Augmented Generation solutions using enterprise AI platforms
- Familiarity with Claude ecosystem tools and AI orchestration frameworks
- Experience with observability and monitoring tools
- Knowledge of SonarQube, Checkmarx, 42Crunch, or equivalent code quality and security tools
- Experience working directly with business stakeholders to identify problems and rapidly prototype solutions
Ford Motor Company Compensation & Benefits Highlights
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Healthcare Strength — Eligible employees can access medical, dental, and prescription coverage starting on the first day, with some zero-cost plan options and free mental health support. Benefits materials highlight comprehensive healthcare as a core pillar.
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Retirement Support — Employees can enroll in a 401(k)-style plan from day one, and some salaried plans include a company match of $0.90 per dollar on the first 5% contributed. Official summaries also describe financial-planning support.
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Parental & Family Support — The package includes paid parental leave, fertility, surrogacy, and adoption benefits, plus a ramp-up program for new parents returning to work. Flexible family-care days and other time-off options support caregiving needs.
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The Company
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
Ford Motor Company Offices
OnSite Workspace
Typical time on-site:
None