Full Stack Developer

Stefanini, Inc; Dearborn (MI); On-site; USD 84,033 - 90,921; Full time

Job summary

Stefanini, Inc in Dearborn, MI is looking for a Full Stack Developer to design, build, and support production-grade data platforms. The ideal candidate will have expertise in Java and Python, plus experience with cloud technologies.

This contract role requires a minimum of 6 years in software engineering, with a strong focus on delivering cloud-based solutions. Pay ranges from $61.00 to $66.00 per hour, based on experience.

Qualifications

• 6+ years of software engineering experience, especially in cloud-based data platforms.
• Strong hands-on development experience in Java and Python.
• Experience with Infrastructure as Code and modern software engineering practices.

Responsibilities

• Design, build, and support scalable software solutions.
• Lead design and implementation of data platform capabilities.
• Improve reliability, supportability, and scalability through monitoring.

Skills

Spring Boot

Python

Google Cloud Platform

SQL

Education

Bachelor's Degree

Tools

Terraform

BigQuery

CI/CD pipelines

Job description

Full Stack Developer

Location: Dearborn, MI. Job Category: Information Technology. Position Type: Contract. Duration: Long-term. Remaining Positions: 1.

Job Description

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 for 70–90% of the time writing code and building solutions.

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, Big Query, 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

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

Pay Range: $61.00 – $66.00 per hour.