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Builds and optimizes Databricks' distributed data and AI infrastructure platform, focusing on storage and query engines, while mentoring engineers and driving long-term technical vision.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues…
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.
Senior role troubleshooting and optimizing GenAI/ML workloads on Databricks, advising customers on AI agents, vector search, and model serving while collaborating with engineering teams.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
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.
Design and lead Databricks' next-generation multi-cloud networking infrastructure, scaling connectivity and observability for millions of VMs while shaping core platform architecture.
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 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.
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.
Build and scale Databricks' backend infrastructure and services, including serverless platforms, cloud systems, and partner integrations, using languages like Java, Scala, or Go.
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.
Builds and maintains Databricks' data intelligence platform, focusing on full-stack development to enable scalable data workflows, visualization, and collaborative analytics using modern web and cloud technologies.
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