Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
- Education
- BS (or higher) in Computer Science, or a related field.
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Role Summary
The Observability team develops solutions that provide insight into the health and performance of Databricks products and infrastructure. The role contributes to the reliability, scalability, and cost efficiency of a large-scale software platform operating across millions of virtual machines.
What You'll Do
- Establish standards for logging, metrics, and tracing.
- Identify metrics that help engineers observe system and component performance.
- Build tooling and infrastructure to emit, aggregate, and store metrics for dashboards and alerting.
- Contribute to and execute the technical roadmap for scalable, performant, and reliable systems.
- Participate in on-call rotations and reduce incident response times.
- Optimize observability costs through expense analysis, retention policies, query streamlining, and resource right-sizing.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or higher in Computer Science or a related field; 5+ years of production-level experience in Python, Java, Scala, C++, or similar languages; experience in software development in large-scale distributed systems; familiarity with metrics collection, health monitoring, and observability tools.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-926
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 solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India - and are currently in the process of setting up 10 new teams from scratch!
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:
- Establish standards for logging, metrics, and tracing.
- You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
- You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
- Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
- Participate in on-call rotations and reduce incident response times to maintain operational excellence.
- Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.
What we look for:
- BS (or higher) in Computer Science, or a related field.
- 5+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
- Experience in software development, in large-scale distributed systems
- Familiarity with metrics collection, health monitoring, and observability tools
About Databricks
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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. Individuals looking for employment at Databricks 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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.