Staff Software Engineer - Databases
Databricks - Bengaluru, India
Posted Aug 19, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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About this role
Staff Software Engineer - Databases Bengaluru, India P-375 At Databricks, we build powerful infrastructure that accelerates innovation and enables data teams to deliver with confidence and scale. Our unified schema migration platform underpins automated, observable, and developer-friendly workflows-ensuring Databricks can continue evolving rapidly across thousands of databases and 60+ mission-critical services. What You'll Do As a Staff Software Engineer, you'll lead the design, development, and reliability of our global platform that manages schema and data changes at scale: - Schema Migration Platform: Architecting and maintaining automated schema change infrastructure for MySQL and TiDB, while implementing versioning, rollback, validation, and auditing for safe, predictable, and fast migrations. - Scale, Reliability & Test Harness: Ensuring the platform operates across thousands of global databases with zero downtime, enhancing resilience, observability, and recovery, and building a test harness for migration and deployment validation. - Developer Experience & CI/CD Integration: Designing intuitive tools and APIs for seamless schema and data change management, and embedding migration workflows into CI/CD pipelines to increase velocity and reduce friction. - Schema & Data management: Designing infrastructure for safe, large-scale schema and data operations like backfills and purging. This includes ensuring backfill operations are monitored, retryable, minimally disruptive, and automated to align with schema/data evolution and maintain data integrity. Your role will be crucial in: - Ensuring the scalability and reliability of schema and data operations across Databricks' global footprint. - Driving predictable deployments by architecting robust test harnesses and automation. - Elevating the developer experience by building accessible, resilient
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