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Verified active · 9h ago

Staff Software Engineer- Networking

DatabricksDatabricks·Cloud Computing / Data Analytics

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~12 min

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About the role

P-1347

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. And we're setting up the team from scratch in Bengaluru , India.

We are seeking an experienced Staff Software Engineers with a networking background to join the Networking Infrastructure team. As one of the seed members of the Bangalore site, you will be focussing on building new backend connectivity services that powers millions of VMs running on Databricks. You will also be leading the design and development of new services that powers the connectivity between our control plane and compute plane. This new platform enables Databricks to increase scalability of our compute plane while also efficiently use cloud resources. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.

What we look for:

  • 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
  • 7+ years of experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures.
  • Extensive experience working in the Networking domain

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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Aplyr's read

Databricks is a hub for data-driven innovation, attracting talent in AI and big data to transform how organizations leverage data for strategic decisions.

Synthesized from recent postings & public sources

What's promising

  • Databricks offers a cutting-edge platform integrating data science, engineering, and business analytics.
  • The company is a leader in big data and AI, driving significant industry advancements.
  • Strong emphasis on collaboration attracts top-tier talent in data analytics and AI fields.

What to watch

  • High competition in cloud data analytics could impact market share.
  • Rapid scaling may strain internal resources and affect company culture.
  • Dependence on cloud infrastructure partners presents potential operational risks.

Why Databricks

  • Databricks' Lakehouse architecture uniquely combines data lakes and warehouses.
  • Focus on AI efficiency and optimization differentiates its research initiatives.
  • Collaborative workspace design fosters innovation across diverse data teams.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About Databricks

Databricks is a unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. It provides a collaborative workspace for data teams to work with big data and AI, enabling organizations to make data-driven decisions.

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