{"schemaVersion":"jobsearcher.job.v1","id":"fae9cee6d625109e5e8324b1","url":"https://jobsearcher.com/jobs/fae9cee6d625109e5e8324b1","canonicalUrl":"https://jobsearcher.com/jobs/fae9cee6d625109e5e8324b1","title":"Full-Stack Platform Software Engineer","description":"Overview\nAt Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.\nJob Type: Full time\nWork Type: Hybrid\n\nWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.\nEnterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.\nIn this position...\nWe are seeking a Full-Stack Platform Software Engineer who is a hands-on builder and curious, fast-moving problem solver. You will be a key contributor on a focused team within Ford’s Enterprise Data Platform organization, designing and developing production-grade applications, services, and user experiences that make trusted data accessible across the enterprise.\nIn this role, you will build across the stack: creating intuitive UI/UX experiences for data access and exploration while also developing the APIs, microservices, data pipelines, and cloud services that power them. You will work closely with engineers, architects, product owners, and data partners to turn complex requirements into secure, scalable, and maintainable platform capabilities.\nYou will own features from design through production deployment, applying modern engineering practices to deliver reliable cloud-native software on Google Cloud Platform. You will also use modern AI-enabled development practices to accelerate delivery, improve software quality, and solve complex engineering challenges. You will apply sound judgment when using AI tools, balancing speed with security, maintainability, testing, and responsible engineering standards.\nIf you enjoy diving into challenging problems, learning new tools when the work calls for them, and seeing your contributions create meaningful real-world impact, this is an opportunity to help shape the future of mobility at Ford.\nWhat you'll do...\nDesign, build, test, deploy, and maintain full-stack platform capabilities, including intuitive user experiences, RESTful APIs, microservices, and data pipelines.\nDevelop polished, accessible UI/UX experiences that enable secure data access, visualization, discovery, and exploration.\nBuild clean, secure, well-documented RESTful APIs and scalable microservices that integrate front-end applications, platform services, and enterprise data products.\nDesign and implement cloud-native data solutions supporting real-time and batch processing on GCP using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions.\nIngest, integrate, standardize, and optimize data from diverse sources so it is governed, accessible, and ready for analytics and AI use cases.\nLeverage tools and frameworks such as Apache Beam, Kafka, and related technologies to deliver scalable data-platform features.\nImplement secure data governance practices, including role-based access control, encryption, data masking, and GCP row- and column-level security.\nMonitor, troubleshoot, and improve application, pipeline, and storage performance, scalability, reliability, and operational efficiency.\nAutomate platform processes to reduce manual intervention, improve reliability, and support efficient operations.\nWrite and maintain high-quality unit, integration, and functional tests to ensure strong coverage and dependable releases.\nOwn features end-to-end, including technical design, development, testing, code review, CI/CD deployment, production release, and operational support.\nManage code through GitHub and apply SDLC, CI/CD, Infrastructure as Code, and engineering-quality practices to deliver software safely and efficiently.\nLeverage AI-assisted development tools and practices to accelerate solution design, coding, testing, documentation, troubleshooting, and delivery while maintaining high standards for security, quality, and reliability.\nIdentify practical opportunities to use AI capabilities within platform features and engineering workflows to improve efficiency, user experience, and business outcomes.\nCollaborate with engineers, architects, product owners, and cross-functional partners to establish reusable frameworks, design patterns, technical standards, and best practices.\nBring a builder’s mindset: understand the purpose behind the system, solve practical customer and business problems, and continuously identify cleaner, smarter ways to deliver value.\nYou'll have...\nBachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.\nStrong hands-on experience as a full-stack software engineer, with the ability to develop both user-facing applications and backend services.\nProficiency in Java or Python, with experience building scalable services; experience with Java Spring Boot is highly valued.\nExperience with modern front-end development and JavaScript frameworks such as Angular, React, Node.js, or similar technologies.\nExperience designing and developing RESTful APIs, microservices, and integrated web applications.\nExperience designing, developing, and deploying cloud-based applications, data pipelines, or microservices on GCP; familiarity with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions is strongly preferred.\nExperience integrating data from multiple sources and developing applications that support data discovery, access, visualization, or analytics workflows.\nFamiliarity with Apache Beam, Kafka, or similar distributed-processing and event-streaming technologies.\nExperience with relational databases, such as PostgreSQL or MySQL; NoSQL databases; and/or columnar platforms such as BigQuery.\nUnderstanding of cloud data governance and security practices, including role-based access control, encryption, data masking, and secure access patterns.\nWorking knowledge of the complete SDLC, including solution design, coding, code review, testing, deployment, release management, and production support.\nExperience with Git/GitHub, CI/CD pipelines, automated testing, and code-quality practices.\nFamiliarity with automation and Infrastructure as Code tools, such as Terraform.\nDemonstrated experience using AI-enabled development tools, assistants, or workflows to improve engineering productivity, accelerate feature delivery, strengthen testing, or resolve technical problems.\nAbility to apply responsible engineering judgment when using AI, including validating generated output, protecting sensitive data, and ensuring solutions meet security, quality, and maintainability standards.\nStrong analytical and troubleshooting skills, including the ability to resolve complex application, microservices, and data-platform issues.\nAbility to independently own features while collaborating effectively with a cross-functional engineering team.\nCuriosity, adaptability, and a willingness to learn new languages, frameworks, and tools as platform needs evolve.\nEven better, you may have...\nExperience building and operating enterprise-scale data platforms or shared cloud platform capabilities.\nExperience developing data-intensive full-stack applications used by large internal or external customer populations.\nExperience with high-volume, real-time, or event-driven data systems.\nGoogle Cloud certification, such as Professional Cloud Architect or another Google Cloud Professional certification.\nYou 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!\nAs 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:\nImmediate medical, dental, vision and prescription drug coverage\nFlexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more\nFamily building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more\nVehicle discount program for employees and family members and management leases\nTuition assistance\nEstablished and active employee resource groups\nPaid time off for individual and team community service\nA generous schedule of paid holidays, including the week between Christmas and New Year’s Day\nPaid time off and the option to purchase additional vacation time.\nThis position is a salary grade 5 – salary grade 8 and ranges from $68,300-$192,900.\nFinal 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.\nFor more information on salary and benefits, click here: New Hire Benefits\nVisa sponsorship is available for this position.\nCandidates 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.\nWe 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.\nThis position is hybrid with a requirement to be onsite four or more days per week.\n#LI-Hybrid #LI-MG1","company":"Ford Motor Company","rawCompany":"fordmotorcompany","city":"Dearborn","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-07T10:39:35.397Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack Platform Software Engineer","description":"Overview\nAt Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.\nJob Type: Full time\nWork Type: Hybrid\n\nWe made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.\nEnterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.\nIn this position...\nWe are seeking a Full-Stack Platform Software Engineer who is a hands-on builder and curious, fast-moving problem solver. You will be a key contributor on a focused team within Ford’s Enterprise Data Platform organization, designing and developing production-grade applications, services, and user experiences that make trusted data accessible across the enterprise.\nIn this role, you will build across the stack: creating intuitive UI/UX experiences for data access and exploration while also developing the APIs, microservices, data pipelines, and cloud services that power them. You will work closely with engineers, architects, product owners, and data partners to turn complex requirements into secure, scalable, and maintainable platform capabilities.\nYou will own features from design through production deployment, applying modern engineering practices to deliver reliable cloud-native software on Google Cloud Platform. You will also use modern AI-enabled development practices to accelerate delivery, improve software quality, and solve complex engineering challenges. You will apply sound judgment when using AI tools, balancing speed with security, maintainability, testing, and responsible engineering standards.\nIf you enjoy diving into challenging problems, learning new tools when the work calls for them, and seeing your contributions create meaningful real-world impact, this is an opportunity to help shape the future of mobility at Ford.\nWhat you'll do...\nDesign, build, test, deploy, and maintain full-stack platform capabilities, including intuitive user experiences, RESTful APIs, microservices, and data pipelines.\nDevelop polished, accessible UI/UX experiences that enable secure data access, visualization, discovery, and exploration.\nBuild clean, secure, well-documented RESTful APIs and scalable microservices that integrate front-end applications, platform services, and enterprise data products.\nDesign and implement cloud-native data solutions supporting real-time and batch processing on GCP using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions.\nIngest, integrate, standardize, and optimize data from diverse sources so it is governed, accessible, and ready for analytics and AI use cases.\nLeverage tools and frameworks such as Apache Beam, Kafka, and related technologies to deliver scalable data-platform features.\nImplement secure data governance practices, including role-based access control, encryption, data masking, and GCP row- and column-level security.\nMonitor, troubleshoot, and improve application, pipeline, and storage performance, scalability, reliability, and operational efficiency.\nAutomate platform processes to reduce manual intervention, improve reliability, and support efficient operations.\nWrite and maintain high-quality unit, integration, and functional tests to ensure strong coverage and dependable releases.\nOwn features end-to-end, including technical design, development, testing, code review, CI/CD deployment, production release, and operational support.\nManage code through GitHub and apply SDLC, CI/CD, Infrastructure as Code, and engineering-quality practices to deliver software safely and efficiently.\nLeverage AI-assisted development tools and practices to accelerate solution design, coding, testing, documentation, troubleshooting, and delivery while maintaining high standards for security, quality, and reliability.\nIdentify practical opportunities to use AI capabilities within platform features and engineering workflows to improve efficiency, user experience, and business outcomes.\nCollaborate with engineers, architects, product owners, and cross-functional partners to establish reusable frameworks, design patterns, technical standards, and best practices.\nBring a builder’s mindset: understand the purpose behind the system, solve practical customer and business problems, and continuously identify cleaner, smarter ways to deliver value.\nYou'll have...\nBachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.\nStrong hands-on experience as a full-stack software engineer, with the ability to develop both user-facing applications and backend services.\nProficiency in Java or Python, with experience building scalable services; experience with Java Spring Boot is highly valued.\nExperience with modern front-end development and JavaScript frameworks such as Angular, React, Node.js, or similar technologies.\nExperience designing and developing RESTful APIs, microservices, and integrated web applications.\nExperience designing, developing, and deploying cloud-based applications, data pipelines, or microservices on GCP; familiarity with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions is strongly preferred.\nExperience integrating data from multiple sources and developing applications that support data discovery, access, visualization, or analytics workflows.\nFamiliarity with Apache Beam, Kafka, or similar distributed-processing and event-streaming technologies.\nExperience with relational databases, such as PostgreSQL or MySQL; NoSQL databases; and/or columnar platforms such as BigQuery.\nUnderstanding of cloud data governance and security practices, including role-based access control, encryption, data masking, and secure access patterns.\nWorking knowledge of the complete SDLC, including solution design, coding, code review, testing, deployment, release management, and production support.\nExperience with Git/GitHub, CI/CD pipelines, automated testing, and code-quality practices.\nFamiliarity with automation and Infrastructure as Code tools, such as Terraform.\nDemonstrated experience using AI-enabled development tools, assistants, or workflows to improve engineering productivity, accelerate feature delivery, strengthen testing, or resolve technical problems.\nAbility to apply responsible engineering judgment when using AI, including validating generated output, protecting sensitive data, and ensuring solutions meet security, quality, and maintainability standards.\nStrong analytical and troubleshooting skills, including the ability to resolve complex application, microservices, and data-platform issues.\nAbility to independently own features while collaborating effectively with a cross-functional engineering team.\nCuriosity, adaptability, and a willingness to learn new languages, frameworks, and tools as platform needs evolve.\nEven better, you may have...\nExperience building and operating enterprise-scale data platforms or shared cloud platform capabilities.\nExperience developing data-intensive full-stack applications used by large internal or external customer populations.\nExperience with high-volume, real-time, or event-driven data systems.\nGoogle Cloud certification, such as Professional Cloud Architect or another Google Cloud Professional certification.\nYou 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!\nAs 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:\nImmediate medical, dental, vision and prescription drug coverage\nFlexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more\nFamily building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more\nVehicle discount program for employees and family members and management leases\nTuition assistance\nEstablished and active employee resource groups\nPaid time off for individual and team community service\nA generous schedule of paid holidays, including the week between Christmas and New Year’s Day\nPaid time off and the option to purchase additional vacation time.\nThis position is a salary grade 5 – salary grade 8 and ranges from $68,300-$192,900.\nFinal 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.\nFor more information on salary and benefits, click here: New Hire Benefits\nVisa sponsorship is available for this position.\nCandidates 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.\nWe 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.\nThis position is hybrid with a requirement to be onsite four or more days per week.\n#LI-Hybrid #LI-MG1","datePosted":"2026-08-07T10:39:35.397Z","dateModified":"2026-08-07T10:39:35.397Z","hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dearborn","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fae9cee6d625109e5e8324b1"},"url":"https://jobsearcher.com/jobs/fae9cee6d625109e5e8324b1"}}