Staff Software Engineer - Backend

Навыки

• API (интеграции)
• AWS
• Azure
• C++
• Data Lake
• Распределённые системы
• Java

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 tackle 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.
• Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

Задачи

• Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as
• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store
• Develop product features that empower our customers to easily store and access their data
• Solve reliability problems related to Lakebase
• Actively find causes of downtime and systematically improve or remove root causes
• Help the org define SLIs, meet SLOs, and drive long-term reliability improvements

Требования

• BS degree (or higher) in Computer Science, or a related field
• 8+ years of production level experience in one of: Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Knowledge of SQL

Условия

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

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