Platform Software Engineer

Smartsearchonline; Dearborn, Northern (MI, KY); Hybrid; USD 61,000 - 66,000; Part time

Job summary

Stefanini Group is hiring a Platform Software Engineer for Dearborn, MI. This contract role focuses on building scalable data pipelines and cloud data platforms using Java or Python, with strong GCP expertise.

You will design microservices, APIs, and full-stack components, align with SDLC, and leverage Git, CI/CD, and modern data tools to deliver robust platforms at scale.

Qualifications

• Experience in Java or Python with cloud platforms.
• Design and deployment of data pipelines and microservices on GCP.
• Strong SDLC understanding with hands-on Git and CI/CD experience.
• Experience with relational and NoSQL databases and data governance.

Responsibilities

• Design and build scalable data pipelines and microservices on GCP.
• Implement SOA and microservices architectures for modular data solutions.
• Integrate front‑end and back‑end components for robust data access and UI exploration.
• Lead data ingestion from multiple sources and optimize analytics readiness.
• Ensure data governance, RBAC, encryption, and secure access controls.
• Collaborate with data architects and engineers to establish best practices and patterns.

Skills

Java

Python

GCP

Data pipelines

Microservices

REST APIs

CI/CD

Git

Education

Bachelor's Degree

Master's Degree

Tools

BigQuery

Dataflow

Dataproc

Kafka

Apache Beam

Spring Boot

React

Node.js

Terraform

Job description

Join us to co-create solutions for a better future!

Job Details

Information Technology

Platform Software Engineer

Dearborn, MI

Posted: 9/24/2026

Job Description

Job ID#: 65031

Job Category: Information Technology

Position Type: Contract

Duration: Long Term

Remaining Positions: 1

Stefanini Group is hiring! Stefanini is looking for a Platform Software Engineer, Dearborn, MI

A Platform Software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms, responsible for building and managing applications and data platforms at scale. Platform engineers may focus on backend development, designing and implementing microservices and robust APIs, or full-stack development, delivering UI/UX solutions and frameworks that enable an enterprise data platform. The engineer should have a strong understanding of the SDLC and hands‑on experience with Git and CI/CD, with the ability to independently design, develop, test, troubleshoot, and release features to production.

Responsibilities

• Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices supporting real-time and batch processing on GCP.
• Service‑Oriented Architecture and Microservices: Design and implement SOA and microservices architectures to deliver modular, flexible, scalable, and maintainable data solutions.
• Full‑Stack Integration: Contribute to the integration of front‑end and back‑end components, supporting robust data access and UI‑driven data exploration.
• Data Ingestion and Integration: Lead the ingestion and integration of data from multiple sources into the enterprise data platform, ensuring data is standardized and optimized for analytics.
• GCP Data Solutions: Utilize GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions to build and manage scalable data platform solutions.
• Data Governance and Security: Implement data governance, access controls, and security best practices, including GCP row‑level and column‑level security.
• Performance Optimization: Monitor and improve the performance, scalability, reliability, and efficiency of data pipelines and storage solutions.
• Collaboration and Best Practices: Partner with data architects, software engineers, and cross‑functional teams to establish best practices, design patterns, and frameworks for cloud data engineering.
• Automation and Reliability: Automate data platform processes to improve reliability, reduce manual intervention, and increase operational efficiency.
• AI/ML: Leverage AI/ML capabilities and tools to accelerate software delivery and solve business problems at the platform level.

Job Requirements Details

Skills Required

• Microservices, Web Services, Full Stack, Database Design, GCP, Data Governance, Information Security, Performance Tuning, Cross‑functional Collaboration, Automation, AI/ML, Analytical Skills

Experience Required

• Java & Cloud Development: Strong proficiency in Java, Angular, or other JavaScript technologies, with experience designing and deploying cloud‑based data pipelines and microservices using GCP services such as BigQuery, Dataflow, and Dataproc.
• Data Platform Technologies: Experience with modern data platform technologies such as Apache Beam and Kafka, including designing and orchestrating platform services to deliver scalable data capabilities.
• Service‑Oriented Architecture & Microservices: Strong understanding of SOA and microservices architecture within cloud data platforms. Experience developing scalable services using Java/Spring Boot, Python, Angular, and GCP.
• Full‑Stack Development: Knowledge of front‑end and back‑end technologies, with the ability to collaborate on data access and visualization layers using technologies such as React and Node.js.
• API Development: Experience designing and developing RESTful APIs for integration across platform services.
• Testing & Quality: Experience developing robust unit and functional tests while maintaining strong test coverage and application quality.
• Database Management: Experience with relational databases such as PostgreSQL and MySQL, NoSQL databases, and columnar databases such as BigQuery.
• Data Governance & Security: Understanding of data governance frameworks and experience implementing RBAC, encryption, and data masking in cloud environments.
• CI/CD & Automation: Familiarity with CI/CD pipelines, Terraform/IaC, and automation frameworks.
• Source Control & Troubleshooting: Experience using GitHub to manage code changes and troubleshoot and resolve application defects.
• SDLC: Ability to independently manage the full software development lifecycle, including feature design, development, testing, and production releases while following SDLC best practices.
• Problem‑Solving: Strong analytical and troubleshooting skills with the ability to resolve complex data platform and microservices issues.

Experience Preferred

• Reliability Engineering experience
• GCP Data Engineer, GCP Professional Cloud

Education Required

• Bachelor's Degree

Education Preferred

• Master's Degree

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. Stefanini is a CMM Level 5 company.

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Pay Range

$ 61.00 - $ 66.00