Staff Software Engineer - Backend
Databricks · Posted Nov 3
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks builds and runs a data and AI infrastructure platform used by customers to derive insights from their data, and its Mosaic AI organization is setting up 10 new teams from scratch in Bengaluru. The Backend teams span domains including distributed systems, at-scale service architecture, workflow orchestration, and cloud storage backends. This Staff Software Engineer role works on reliable, scalable backend services and data pipelines that power pricing infrastructure and platform usage features.
What you will do
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
- Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
- As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.
Skills used in this role
What the employer is looking for
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- BS (or higher) in Computer Science, or a related field
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway2026-08-13
Forbes
Databricks Hits $190 Billion Valuation As CEO Ali Ghodsi Claims AGI Has Already Arrived2026-08-13
Databricks Newsroom
Databricks Launches Genie One: All-New Agentic Coworker for Every Team2026-06-16
Bloomberg
Context Needed to Reach AGI, Says Databricks CEO2026-06-16