Full Stack Developer

Full Stack Developer (Dearborn, MI)

We are looking for a Senior Software Engineer – Data Platform with strong Java and Python experience to design, build, and evolve production‑grade data and automation solutions. The ideal candidate combines software engineering fundamentals with practical experience delivering cloud‑based data platform capabilities, leads through technical depth, mentors peers, works through ambiguity, and remains highly hands‑on, spending 70‑90% of their time writing code and building solutions.

• Design, build, test, deploy, and support scalable software solutions using Java and Python.
• Lead the design and implementation of reliable, maintainable, and production‑ready data platform and transformation capabilities.
• Build and enhance cloud‑native applications, services, and workflows on Google Cloud Platform.
• Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability, and operational excellence.
• Improve platform reliability, supportability, and scalability through monitoring, logging, alerting, and performance optimization.
• Contribute to infrastructure automation and environment consistency using Infrastructure as Code practices, including Terraform.
• Evaluate and apply modern engineering tools, including AI‑assisted development workflows, where they improve speed, quality, and team effectiveness.

• Spring Boot
• Python
• Google Cloud Platform
• SQL

• GCP Cloud Run
• Angular
• Spring Boot
• Big Query
• AIPGEE

• 6+ years of software engineering experience, with significant experience building cloud‑based data platforms or data‑intensive systems.
• Strong hands‑on development experience in both Java and Python, including design, implementation, testing, and deployment.
• Proven experience architecting and delivering solutions from concept through production support.
• Strong understanding of object‑oriented design, distributed systems, and modern software engineering practices.
• Experience building on public cloud platforms, preferably Google Cloud Platform (GCP).
• Experience with cloud and data platform technologies such as Big Query, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools.
• Experience with CI/CD pipelines, automated testing, and modern version control practices.
• Experience with Infrastructure as Code, preferably Terraform.
• Experience implementing observability practices, including logging, monitoring, alerting, and operational diagnostics for production systems.

• Experience building data platforms, data‑intensive applications, or large‑scale transformation pipelines.
• Experience in automotive, manufacturing, telemetry, or other large‑scale operational data environments.
• Experience working in a large global organization with diverse stakeholders and competing priorities.
• Experience with backend or full‑stack development in support of internal platforms or data products.
• Experience using AI or automation tools to improve engineering productivity, code quality, testing, or documentation workflows.
• Google Cloud certification.

• Bachelor's Degree

• Certification Program
• Master's Degree

Listed salary ranges may vary based on experience, qualifications, and local market. Some positions may include bonuses or other incentives.