---
title: 'Sr.Staff Software Engineer- Network Platform at Databricks'
canonical: 'https://feeny.ai/job/sr-staff-software-engineer-network-platform-databricks-bengaluru-kxgdnv4kx9n7'
type: 'job'
last_seen: '2026-09-05'
---

# Sr.Staff Software Engineer- Network Platform at Databricks

- **Company:** Databricks
- **Location:** Bengaluru, India
- **Posted:** 2026-03-23
- **Last confirmed live:** 2026-09-05
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8462811002

## Job description

P-1533

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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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 Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

## Other roles at Databricks

- [Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers)](https://feeny.ai/job/sr-manager-field-engineering-healthcare-and-life-sciences-healthcare-providers-yr4vq9ck4mjs) — United States
- [Strategic Enterprise Account Executive, State and Local](https://feeny.ai/job/strategic-enterprise-account-executive-state-and-local-databricks-new-york-9nxnagrrk57h) — New York, NY
- [Sr. Recruiter, GTM & Field Engineering](https://feeny.ai/job/sr-recruiter-gtm-field-engineering-databricks-london-kcp6d3mm21sh) — London, United Kingdom
- [Recruiter, GTM & Field Engineering](https://feeny.ai/job/recruiter-gtm-field-engineering-databricks-london-9yb20xg2j6v3) — London, United Kingdom
- [Executive Assistant, R&D](https://feeny.ai/job/executive-assistant-r-d-databricks-belgrade-cyhdd10ajyr8) — Belgrade, Serbia
- [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-berlin-cmntcda7q98y) — Berlin, Germany / Munich, Germany
- [Strategic Enterprise Account Executive - Financial Services](https://feeny.ai/job/strategic-enterprise-account-executive-financial-services-databricks-new-york-fqfj6fn9869c) — New York City, NY
- [Enterprise Geo Hunter Account Executive - Financial Services](https://feeny.ai/job/enterprise-geo-hunter-account-executive-financial-services-databricks-northeast-0bbs8dp2bafw) — Northeast, United States
- [Solutions Architect (Genie)](https://feeny.ai/job/solutions-architect-genie-databricks-bengaluru-czws9caf45ay) — Bengaluru, India / Delhi, India / Mumbai, India
- [Sr. Solutions Architect (CustomerLake)](https://feeny.ai/job/sr-solutions-architect-customerlake-databricks-tokyo-2b6w41hnhdwp) — Tokyo, Japan