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As a Senior Software Engineer at Databricks, you'll work on backend systems, focusing on distributed architecture, performance, and product features, contributing to the Data Intelligence Platform.

The Senior Software Engineer will drive design decisions, develop features, mentor junior engineers, and manage production rollout in distributed data systems.

As a Staff Software Engineer, you'll develop backend systems, focusing on distributed systems and large-scale architectures, enhancing data access for customers.

As a Senior Solutions Architect, you will engage with customers, develop strategies with Account Executives, and coach junior staff while promoting the Databricks platform through technical engagements and community involvement.

As a Senior Staff Software Engineer at Databricks, you'll design and maintain backend systems, enhance performance, mentor junior engineers, and lead technical projects in a large-scale distributed environment.

Customer-facing engineer who architects and implements end-to-end Databricks data and AI solutions. Leads production-grade data pipelines, ML/AI model integration, and user-facing applications; manages technical scope and delivery, embeds with customers, contributes reusable assets, and provides product feedback to Databricks teams. Travel to customers ~20%.

Design and develop next-generation database systems focusing on query compilation, execution, data security, and resource management while mentoring junior engineers.

As a Staff Backend Software Engineer on the AI Platform team, you will build infrastructure for AI applications, improve distributed AI workloads, and collaborate with various teams to enhance developer and data scientist experiences.

As a Staff Backend Software Engineer, you will design and implement systems for high-scalability and low-latency inference using AI models, driving architectural decisions and mentoring teams.

The Staff Backend Software Engineer will design and implement systems for Databricks Model Serving, focusing on scalability, reliability, and operational excellence in serving AI/ML models.