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Location
In office (Chennai)
Seniority
Senior · 5+ years exp
Overview
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Ford is an American automaker founded in Dearborn in 1903 by Henry Ford, who introduced the moving assembly line and turned the car into a mass-market product. It is now organised into three businesses reported separately: Ford Blue for internal combustion vehicles, Model e for electric vehicles and software, and Ford Pro for commercial customers, which bundles vans and trucks with telematics, servicing and charging under multi-year contracts. Listed on the New York Stock Exchange and still partly controlled by the founding family through a special class of shares, its F-Series pickup has been the best selling vehicle in the United States for decades.

We are seeking a passionate and experienced Software Engineer who enjoys learning new technologies and solving complex business problems in a collaborative environment. You will work alongside product managers, architects, and fellow engineers to design, develop, test, and deploy scalable digital solutions.

You will primarily work with Java, Spring Boot, Microservices, Google Cloud Platform (GCP), and AI-powered technologies. Experience with Google AI tools and practical implementation of AI solutions is highly desirable.

Our engineering culture emphasizes Agile practices, software craftsmanship, quality engineering, pair programming, continuous integration, and continuous deployment. Common tools include GitHub, IntelliJ IDEA, Visual Studio Code, Slack, Figma, and modern cloud-native development platforms.

  • Design, develop, test, and support scalable digital platforms and services.
  • Build cloud-native applications using Java, Spring Boot, Microservices, and GCP.
  • Develop and maintain RESTful APIs and platform integrations.
  • Collaborate with architects to create and evolve technical designs and solution architecture.
  • Participate in application migrations, modernization initiatives, and production support activities.
  • Deliver high-quality software through Agile and Extreme Programming (XP) practices.
  • Work closely with Product Managers and Product Owners to prioritize business value-driven solutions.
  • Develop automated unit, integration, regression, and performance tests.
  • Implement monitoring, logging, tracing, and alerting capabilities using industry-standard tools such as Splunk and Dynatrace.
  • Contribute to CI/CD pipelines and DevOps automation.
  • Ensure adherence to security and quality standards, including SAST and DAST practices.
  • Conduct proof-of-concepts and rapid prototyping for new features and AI-driven solutions.
  • Research emerging technologies and recommend innovative approaches to improve application delivery.
  • Participate in Agile ceremonies including sprint planning, stand-ups, backlog refinement, demos, and retrospectives.
  • Provide on-call support on a rotational basis, including occasional off-hours and weekend coverage.
  • Required

    • Bachelor's degree in Engineering, Computer Science, Information Technology, MCA, or a related field.
    • 5+ years of experience developing and supporting enterprise software applications.
    • 4+ years of hands-on experience with Spring technologies, including Spring Boot, Spring MVC, Spring JDBC, and Spring Cloud.
    • 3+ years of experience designing and developing Microservices and REST APIs.
    • 2+ years of cloud-native development experience on Google Cloud Platform (GCP).
    • Strong proficiency in Java development and object-oriented programming concepts.
    • Experience with CI/CD tools such as GitHub Actions, Jenkins, Maven, or Gradle.
    • Experience with automated testing frameworks such as JUnit and Selenium.
    • Experience with code quality and security tools such as SonarQube, Checkmarx, and 42Crunch.

    Preferred

    • Experience implementing Generative AI or AI-powered solutions.
    • Experience with Google AI tools and services.
    • Understanding of observability platforms such as Splunk and Dynatrace.
    • Experience working with Pair Programming and Test-Driven Development (TDD).
    • Exposure to Agile software development methodologies.
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