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P-1584 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Designs and builds scalable backend services for Databricks' Lakehouse Platform, focusing on reliability and performance for data infrastructure in London.
Leads a team building and maintaining the frontend developer platform at Databricks, enabling hundreds of engineers to ship high-quality React-based features efficiently using TypeScript, GraphQL, and related tools.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
Builds and maintains Databricks' data and AI infrastructure platform, focusing on distributed systems, cloud storage backends, and scalable backend services using Java, Scala, or C++.
Designs and builds scalable backend services for a data/AI platform, focusing on distributed systems, cloud storage integration, and SaaS architecture.
Staff Software Engineer designing and scaling backend systems for Databricks' data and AI platform, working with distributed systems, cloud storage, and Scala/Kubernetes in Bengaluru.
Builds and scales Databricks' Lakehouse Platform backend services in Berlin, focusing on distributed systems, cloud storage integration, and high-performance data infrastructure.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and SaaS services using languages like Scala and Java.
Builds and maintains Databricks' modern SaaS data and AI platform, focusing on full-stack development for SQL analytics, workflows, and developer tools using JavaScript, React, Node.js, Python, and cloud services.
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.
Designs and scales backend infrastructure for a data/AI platform, working on distributed systems, cloud storage, and Kubernetes-based services in Bengaluru.
Build and scale Databricks' backend infrastructure and services, including serverless platforms, cloud systems, and partner integrations, using languages like Java, Scala, or Go.
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.
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.
Build and scale Databricks’ backend infrastructure, including distributed systems and cloud-agnostic platforms, using languages like Java, Scala, or Go.
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