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. 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. Job Requirements 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*** #LI-SK2 #LI-ONSITE Pay Range: $ 61.00 - $ 66.00