Top Requirements:
1. Bachelor Degree is REQUIRED
2. 6+ years of software engineering experience, including significant experience building cloud-based data platforms or data-intensive systems.
3. Strong hands-on development experience in both Java and Python, including design, implementation, testing, and deployment.
4. Proven experience architecting and delivering solutions from concept through production support.
5. Strong understanding of object-oriented design, distributed systems, and modern software engineering practices.
6. Experience building on public cloud platforms, preferably Google Cloud Platform (Google Cloud Platform) and Experience with cloud and data platform technologies such as BigQuery, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools.
7. Experience with CI/CD pipelines, automated testing, and modern version control practices and Experience with Infrastructure as Code, preferably Terraform.
Skills Required:
Spring Boot, Python, Google Cloud Platform, SQL
Skills Preferred:
Google Cloud Platform Cloud Run, Angular, Spring Boot, Big Query, APIGEE
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 (Google Cloud Platform).
- 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.
- Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
- Demonstrated ability to mentor peers and influence engineering direction through day-to-day technical leadership.
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.
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