Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Sr. Staff Software Engineer will help shape Databricks’ Networking Infrastructure in Bangalore by defining the technical vision and architecture for multi-cloud network connectivity and observability services. The role focuses on large-scale connectivity platforms between the control plane and compute plane, improving the scalability, reliability, and efficiency of compute infrastructure.
What You'll Do
- Own and drive the design of large-scale connectivity platforms
- Define technical vision and architecture for next-generation network connectivity and observability services
- Set technical direction at an org-wide level
- Lead complex cross-team initiatives
- Mentor senior engineers
- Work with product management, operations, and partner engineering teams to translate business goals into networking systems
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View full postingQualifications
15+ years of production-level experience in Rust, Java, Scala, C++, or a similar language; 10+ years developing large-scale distributed systems from scratch; experience with SaaS platforms or Service-Oriented Architectures; experience with cloud networking, Kubernetes, and infrastructure automation languages such as Terraform or CloudFormation.
Required
- 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
- 10+ years of experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
(P-1174)
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.
Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.
We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds.
In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.
You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.
This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.
What we look for:
- 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
- 10+ years of experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
- Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.
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.