FullStack Developer

• 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.

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., * 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, Application Integration, Artificial Intelligence (AI), Automation, Automotive Manufacturing, Building Codes, Capability Maturity Model (CMM), Cloud Applications, Cloud Computing, Code Reviews, Computer Programming, Consulting, Continuous Deployment/Delivery, Continuous Integration, Distributed Computing, Documentation, Engineering, Financial Services, Fortune 1000 Customers, GCP (Good Clinical Practices), Government, Information Technology & Information Systems, Information Technology Consulting, Information Technology Outsourcing, Java, Leadership, Manufacturing, Mentoring, Nearshoring, Object Oriented Design (OOD), Performance Tuning/Optimization, Production Support, Production Systems, Productivity Management, Public Cloud, Python Programming/Scripting Language, Quality Management, Recruiting Strategy, Reliability Engineering, SQL (Structured Query Language), Software Administration, Software Engineering, Source Code/Configuration Management (SCM), System Integration (SI), Telecommunications, Telemetry, Test Automation, Testing

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. We are a CMM Level 5 company., Stefanini is a global IT services company with over 24,000 employees across 77 offices in 40 countries across the Americas, Europe, Africa, Australia, and Asia. Since 1987, Stefanini has been providing offshore, onshore and nearshore IT services, including application development and outsourcing services, IT infrastructure outsourcing (help desk support and desktop services), systems integration, consulting and strategic staffing to Fortune 1000 enterprises around the world.

With a base of over 500 active clients, including more than 300 multinationals, Stefanini maintains a strong presence in industries such as financial services, manufacturing, telecommunications, chemical, services, technology, public sector, and utilities. Clients benefit from Stefanini’s financial stability, sustained year-over-year growth, and zero net debt. The corporate global headquarters is located in Sao Paulo, Brazil with European headquarters in Brussels and North American headquarters in metropolitan Detroit.

Company Size: 10,000 employees or more