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Active7h ago

Senior Staff Software Engineer- Networking

Databricks·📍 Bengaluru, KA, India

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

(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

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Role market pulse

How Software Engineer demand looks in India

68/100 · rising

Live jobs

256

Posted 30d

152

30d movement

+230.4%

Remote share

5.5%

Salary listed

5.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

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; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Executive Engineering - Pipeline

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Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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