Full Stack Developer

Stefanini Group is hiring a Full Stack Developer for a Senior Software Engineer - Data Platform role in Dearborn, MI. The role involves designing and building scalable data platform solutions using Java, Python, and Google Cloud Platform.

• Design, build, test, deploy, and support scalable software solutions using both 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
• 6+ years of software engineering experience, including 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 BigQuery, 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.