RDQ426R299 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
As a software engineer in the Observability team , you will develop observability solutions that provide insights into the health and performance of our products and infrastructure
The impact you'll have: 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
What we look for: BS (or higher) in Computer Science, or a related field
15+ 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