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Staff Software Engineer (Infrastructure)

Databricks
Bengaluru, India
Full-time
AI tools:
Mosaic AI
You apply on Databricks's own careers site

This Staff Software Engineer will build backend infrastructure for Databricks services, including systems for cloud storage, workflow orchestration, and pricing. The work spans distributed systems and developer experience for a platform operating at large scale.

Permanent
On-site
12+ years
Bachelor's degree or higher

Skills & Expertise

Distributed systems
Python
Java
Scala
C++
Kubernetes
AWS S3
Azure Blob Store

Key Responsibilities

Build reliable, scalable backend services and client libraries for cloud data storage.

Develop infrastructure and data pipelines supporting pricing and platform usage features.

Improve service architecture, monitoring, workflow orchestration, and developer experience.

Full Description

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.

Applications are handled on Databricks's site