Databricks

Databricks

Posted via Greenhouse

Senior Software Engineer - Data Platform

Posted Sep 21, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not Disclosed
Location
Bengaluru, India
Work arrangement
On-site
Employment
Full-time
Experience
7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
Education
BS (or higher) in Computer Science, or a related field

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Role Summary

AI-generated

The Senior Software Engineer will join Databricks India and work across Backend, Distributed Data Systems, or Full Stack teams. The role supports Databricks' data and AI infrastructure platform, including services, storage systems, data pipelines, and user experiences.

What You'll Do

  • Design and develop distributed systems and at-scale service architectures.
  • Build monitoring, workflow orchestration, and developer experience solutions.
  • Deliver reliable, high-performance services and client libraries for storing and accessing data on cloud storage backends.
  • Build scalable services and data pipelines to power pricing infrastructure and platform usage features.
  • Work with teams and product management to deliver user experiences.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Experience developing large-scale distributed systems from scratch; experience working on a SaaS platform or with Service-Oriented Architectures; 7+ years of production level experience in Python, Java, Scala, C++, or a similar language.

Required

  • BS (or higher) in Computer Science, or a related field
  • 7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
  • Experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures

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. 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 Senior Software Engineer at Databricks India, you can get to work across  : 

- Backend 

- DDS (Distributed Data Systems)

- Full Stack

The impact you'll have:

1. Our 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.

2. Our DDS team spans across:

  • Apache Spark™
  • Data Plane Storage
  • Delta Lake
  • Delta Pipelines
  • Performance Engineering

3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

What we look for:

  • BS (or higher) in Computer Science, or a related field
  • 7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
  • Experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures.

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.

Databricks

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.