Engineering Manager - Compute Infra

Навыки

• AWS
• Azure
• Data Lake
• Распределённые системы
• Google Cloud
• Kubernetes
• Лидерство

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
• At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.

Задачи

• Own and evolve the compute platform to support all Databricks workloads , enabling engineers to build world-class products with high velocity and best-in-class performance
• Hire exceptional engineers and invest in their growth through coaching, feedback, and career development
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset
• Partner with engineering and product leadership to define long-term strategy and roadmaps
• Lead cross-team initiatives that span product and infrastructure surface areas
• Influence architectural decisions beyond your immediate team

Требования

• 10+ years of experience building and operating large-scale distributed systems , including strong practices around testing, monitoring, and reliability
• 3+ years of engineering management experience leading high-performing teams
• Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred
• Proven ability to collaborate across engineering, product, and business stakeholders
• Experience scaling teams and systems through rapid growth
• BS, MS, or PhD in Computer Science or related field, or equivalent experience

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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