Sr. Software Engineer, Observability

Sr. Staff Software Engineer, Observability

Location:

Mountain View, California

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.

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

• 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.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is estimated at $235,000 — $295,000 USD
. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Databricks provides comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Applicants are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.