Engineering Manager - Backend

Навыки

• Big Data
• Data Lake
• Распределённые системы
• Лидерство
• Machine Learning
• Роадмап
• UX-дизайн

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 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 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

Задачи

• Hire great engineers to build an outstanding team
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
• Work with engineering and product leadership to build a long-term roadmap
• Coordinate execution and collaborate across teams to unblock cross-cutting projects
• As one of the first Engineering Managers in the Software Engineering team at Databricks India , you will work with your team to build infrastructure and products for the Databricks platform at scale
• We have multiple teams working on different domains
• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems

Требования

• 10+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
• Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
• Extensive experience managing a team of strong software engineers
• Partner with PM, Sales, and Customers to develop innovative features & products
• BS (or higher) in Computer Science, or a related field

Условия

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

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