Design and develop scalable data-intensive applications and cloud solutions using RDBMS, SQL, Python, and Google Cloud. Build data pipelines and integrations with Spanner, Datastream, Dataflow, and CDC. Create data models, optimize production code, manage Git workflows and CI/CD releases, and apply software engineering practices for security, scalability, testing, and observability. Collaborate with architects, engineers, and business teams to deliver reliable technical solutions.
Senior Software Engineer – RDBMS & Google Cloud
Role Overview
We are looking for a Senior Software Engineer with strong expertise in RDBMS, SQL, Python, and Google Cloud Platform to design and build scalable, reliable data-intensive applications and cloud solutions.
Key Responsibilities
- Design and develop solutions using RDBMS, SQL, and data modeling best practices.
- Build cloud-native solutions using Google Cloud Spanner, Google Datastream, and Google Dataflow.
- Develop robust Python-based applications and data pipelines.
- Design data models, schemas, transformations, and data integration workflows.
- Work with change-data-capture (CDC), data synchronization, and distributed data processing.
- Develop, review, test, troubleshoot, and optimize production-quality code.
- Work with Git-based code repositories, branching strategies, pull requests, and code reviews.
- Manage and contribute to CI/CD and release pipelines, deployments, and production releases.
- Follow software engineering best practices around security, scalability, observability, testing, documentation, and maintainability.
- Collaborate with architects, engineers, and business teams to translate requirements into scalable technical solutions.
Required Skills
- 7+ years of software/data engineering experience.
- Strong RDBMS and SQL skills, including query optimization and database design.
- Strong Python programming skills.
- Hands-on experience with Google Cloud Platform (GCP).
- Strong experience with Google Cloud Spanner.
- Experience with Google Datastream / CDC and Google Dataflow.
- Good understanding of distributed systems and data synchronization.
- Strong data modeling skills.
- Proficiency with Git/code repositories, CI/CD, release management, and engineering best practices.
Good to Have
- Experience with Pub/Sub, Cloud Storage, Cloud Functions/Cloud Run, or other GCP services.
- Experience with database migration, replication, or hybrid cloud architectures.
- Experience designing highly available and multi-region applications.
- Familiarity with Agile development and automated testing.
Ideal Candidate
A hands-on senior engineer who combines strong database fundamentals with modern GCP engineering, can independently design and implement solutions, and follows disciplined software development and release practices.
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