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Design, build, and scale Databricks AI Runtime for large-scale GPU training. Lead architecture and implementation of multi-node orchestration, scheduling, checkpointing, resilience, throughput optimization, observability, and developer tooling. Mentor engineers, partner with product and research, and deliver high-impact production rollouts supporting thousands of accelerators and diverse model workloads.

Lead transformation of global travel, expense, and corporate spend programs into a digital-first, automated model. Build scalable T&E strategy, oversee travel operations, manage suppliers and corporate card programs, implement AI-enabled expense automation and controls, ensure compliance and audit readiness, partner with cross-functional teams, and build a high-performing global team.

Drive architecture and implementation of Databricks AI Runtime for large-scale GPU training. Build scheduling, distributed training performance, resilience, observability, and developer-facing APIs/CLI. Improve GPU utilization, fault tolerance, and multi-node orchestration. Lead cross-team initiatives, mentor engineers, and deliver high-impact platform features supporting thousands of accelerators and long-running jobs.

Lead a regional team of Lakebase sales specialists to drive revenue, pipeline, and adoption by modernizing legacy databases and operationalizing real-time, transactional, and AI workloads on Databricks. Recruit and coach specialists, execute developer/platform sales motions, run architecture workshops, engage CIO/CTO-level stakeholders, and provide field feedback to Product and GTM to scale regional strategies and partnerships.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Lead customer-facing projects to design, build, and productionize data and AI solutions on Databricks. Own architecture, implement end-to-end data pipelines, ML/AI model integration, and user-facing applications while collaborating with product, engineering, and customer teams to deliver scalable, secure, measurable outcomes.

As a Staff Software Engineer focusing on backend, you'll design, implement, and operate micro-services, focusing on large-scale data and AI infrastructure.

As a Staff Software Engineer on the Money team, you'll manage billing systems, develop new pricing strategies, enhance data processing efficiency, and collaborate cross-functionally.

Customer-facing senior engineer who architects and implements production big-data solutions on Databricks. Responsibilities include Spark performance tuning, end-to-end pipeline design, workload sizing, ML model productionization, supporting solution architects on technical sales, and contributing to community adoption and training.

As a Staff Software Engineer, you will design and enhance the logging platform, optimizing log delivery, accessibility, and performance while mentoring engineers.