Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS (or higher) in Computer Science, or a related field
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Role Summary
The Staff Software Engineer will work on Databricks India’s Backend Infrastructure teams, which develop essential service platforms and data and AI infrastructure. The role focuses on building reliable, scalable, and high-performance services that support cloud storage, pricing infrastructure, data pipelines, and platform usage management.
What You'll Do
- Design and develop distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience...
- Deliver reliable and high-performance services and client libraries for storing and accessing data on cloud storage backends such as AWS...
- Build reliable, scalable services using technologies such as Scala and Kubernetes.
- Develop data pipelines using Apache Spark and Databricks.
- Build pricing infrastructure that serves millions of cluster-hours per day.
- Develop product features that help customers view and control platform usage.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS (or higher) in Computer Science or a related field; 12+ years of production-level experience in Python, Java, Scala, C++, or a similar language; 6+ years developing large-scale distributed systems from scratch; experience with SaaS platforms or Service-Oriented Architectures.
Required
- BS (or higher) in Computer Science, or a related field
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
- 6+ years experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
Preferred
- Experience working on Infrastructure related projects
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1346
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. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch !
As a Staff Software Engineer at Databricks India, you can get to work across :
- Backend (Infrastructure)
The impact you'll have:
Our Infrastructure Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:
- Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
- Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
- 6+ years experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Experience working on Infrastructure related projects is a plus
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.