Sr. Staff Software Engineer, Observability

Навыки

• AWS
• Azure
• C++
• Data Lake
• Распределённые системы
• Docker
• Google Cloud

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.
• Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.
• We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Задачи

• You will build the next generation of observability platforms that support billions of active time series and process petabytes of logs daily
• You will manage infrastructure across nearly a hundred cloud regions, enabling all Databricks engineers and customers to monitor the reliability of our product
• You will develop advanced workflows that accelerate incident diagnosis for Bricksters, allowing engineers to quickly derive insights from logs and metrics
• You will leverage powerful capabilities of Databricks’ own data intelligence platform to push the boundaries of troubleshooting practices in the industry
• You will uplevel monitoring and reliability practices across Databricks engineering, developing opinionated tools that set common standards for managing structured logs, metrics, alerts, dashboards, and oncall rotations
• Mentor and uplevel engineers, fostering a culture of technical excellence within the team and broader observability community

Требования

• BS (or higher) in Computer Science, or a related field
• 7+ years of production-level experience in one of: Go, Python, Java, Scala, Rust, C++, or similar languages
• Experience in software development, in large-scale distributed systems
• Experience driving large projects involving multiple teams
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
• Familiarity with observability infrastructure, monitoring patterns, and reliability practices

Условия

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

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