Full Stack Developer

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 Preferred

• Certification Program
• Master's Degree

Pay

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

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. We are a CMM Level 5 company.

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