Sr. Staff Software Engineer, Observability

Databricks Inc.; Mountain View (CA); On-site; USD 235,000 - 295,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity opportunities

Annual performance bonus

Job summary

A leading data and AI infrastructure company is seeking a Sr. Staff Software Engineer to join their Observability team in Mountain View, California. In this role, you will develop key observability solutions and ensure product reliability across cloud regions. Candidates should have 15+ years of experience in programming languages and a solid understanding of cloud technologies. The position offers competitive compensation ranging from $235,000 to $295,000, as well as comprehensive benefits and a commitment to diversity.

Qualifications

• 15+ years of production-level experience in programming languages like Go, Python, or Java.
• Experience with cloud technologies such as AWS, Azure, or GCP.
• Familiarity with observability infrastructure and monitoring practices.

Responsibilities

• Develop observability solutions for product and infrastructure health.
• Build next-gen platforms to support billions of active time series.
• Mentor engineers and foster a culture of technical excellence.

Skills

Go

Python

Java

Scala

Rust

C++

Large-scale distributed systems

Cloud technologies

Docker

Kubernetes

Education

BS (or higher) in Computer Science or a related field

Job description

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.

Observability Team

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

• 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.

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.

Pay Range Transparency

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.

Benefits

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 https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

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.

Compliance

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.