Full Stack Developer

Stefanini Group; Dearborn (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Stefanini Group in Dearborn, MI seeks a Senior Software Engineer - Data Platform to design, build, and evolve production‑grade data and automation solutions. The role combines deep software engineering with cloud data capabilities, and you will lead through technical depth while mentoring peers and delivering hands‑on results.

You will spend the majority of time coding (70–90%), building scalable data platforms on Google Cloud Platform using Java and Python, with a focus on reliability,

Qualifications

• 6+ years of software engineering experience with cloud data platforms.
• Strong hands-on Java and Python development.
• Experience with Google Cloud Platform and BigQuery.
• CI/CD pipelines and infrastructure as code experience.
• Bachelor's degree required.

Responsibilities

• Design, build, test, deploy, and support scalable software solutions using Java and Python.
• Lead the design and implementation of data platform and transformation capabilities.
• Build and enhance cloud-native applications and workflows on GCP.
• Improve reliability, observability, and operational excellence.
• Contribute to IaC using Terraform and modern engineering tools.
• Ensure code quality through reviews, testing, and automation.

Skills

Java

Python

Spring Boot

Google Cloud Platform

SQL

Education

Bachelor's Degree

Tools

Terraform

Airflow

Dataproc

BigQuery

Job description

Senior Software Engineer - Data Platform (Dearborn, MI) – Stefanini Group

We are looking for a Senior Software Engineer - Data Platform with strong Java and Python experience to help design, build, and evolve production‑grade data and automation solutions. This role is ideal for an engineer who combines strong software engineering fundamentals with practical experience delivering cloud‑based data platform capabilities. The right candidate will be able to lead through technical depth, mentor peers, work through ambiguity, and remain highly hands‑on in delivery, spending approximately 70–90% of their time writing code and building solutions.

For quick apply, please reach out to Saurabh Kapoor at 248-582-6559 / [e-mail].

Responsibilities

• 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.

Skills Required

• Spring Boot, Python, Google Cloud Platform, SQL

Skills Preferred

• GCP Cloud Run, Angular, Spring Boot, BigQuery, AIPGEE

Experience Required

• 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.

Experience Preferred

• 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.

Education Required

• Bachelor's Degree

Education Preferred

• Certification Program, Master’s Degree