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Senior Staff Software Engineer at Databricks in Bengaluru, India, building and scaling distributed data and AI infrastructure for global enterprises using large-scale distributed systems.
Leads the product vision and roadmap for Databricks Runtime, coordinating engineering and customer needs to optimize data processing and governance for large-scale cloud platforms.
Builds and scales evaluation infrastructure for AI agents at a data/AI platform company, designing systems that measure and improve agent quality across research and production.
Designs and runs the infrastructure that powers AI research at Databricks, building systems to schedule and orchestrate large-scale training and inference workloads across thousands of GPUs.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and scalable services using languages like Scala and Java.
Builds and scales Databricks' backend infrastructure, including cloud-agnostic platforms and developer tools, using languages like Java, Scala, or Go.
Builds and operates Databricks' internal data platform, including metrics stores, ETL frameworks, and orchestration tools, using Databricks products and open-source data tools at massive scale.
Lead security engineering for Databricks' identity and access management systems, hardening infrastructure against threats while shaping the company's security vision at scale.
Designs and scales backend infrastructure for a data/AI platform, working on distributed systems, cloud storage, and Kubernetes-based services in Bengaluru.
Builds and maintains Databricks' billing, cost optimization, and resource governance systems, ensuring accurate usage tracking and commercialization for enterprise customers using cloud-native infrastructure.
Designs and builds autonomous data systems for Databricks' Managed Tables, optimizing storage and performance at massive scale using distributed systems and AI-driven tools.
Lead the design and development of Databricks Unity Catalog’s enterprise-grade data governance features, setting technical direction for security, scalability, and usability while mentoring engineers.
Designs and builds reusable UI components and frontend architecture for Databricks' data and AI platform, using modern JavaScript frameworks and TypeScript.
Lead the product strategy for data security on Databricks' Lakehouse platform, defining policies and controls to meet privacy and regulatory needs while simplifying access for enterprise customers.
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Designs and builds Databricks' billing, pricing, and cost-optimization systems, ensuring accurate usage tracking and seamless customer billing across AWS, GCP, and Azure.
Lead the technical vision and build the control plane for Lakebase, a managed Postgres layer that unifies operational data, analytics, and AI. Hands-on role in Go/Rust, PostgreSQL, and Kubernetes.
Build and lead the Spark Structured Streaming engine, designing state-of-the-art stream processing features and improving latency, throughput, and cost for Databricks’ data and AI platform.
Builds and improves Databricks' data and AI platform UI/UX, focusing on scalable frontend features for data workflows, dashboards, and collaborative projects using modern JavaScript frameworks.
A senior engineer at Databricks designs and scales core data platforms like workspaces and notebooks, using distributed systems in Python/Java/Scala to support 10X–100X growth and improve developer experience.
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