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Evergreen - Senior Software Engineer (L5) - Partner Ecosystem

Databricks

Bengaluru

On-site

USD 1,20,000 - 1,80,000

Full time

7 days ago
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Job summary

An innovative firm is seeking a Staff Engineer with a strong networking background to join their Bengaluru team. In this pivotal role, you'll focus on building backend connectivity services that enhance the scalability of cloud resources. Collaborating with cross-functional teams, you'll tackle complex challenges in multi-cloud and distributed systems. If you have a passion for developing large-scale systems and thrive in a fast-paced environment, this opportunity is perfect for you. Join a company committed to leveraging data and AI to solve the world's toughest problems.

Qualifications

  • 9+ years of experience in production-level programming languages.
  • 7+ years developing large-scale distributed systems from scratch.

Responsibilities

  • Build new backend connectivity services for millions of VMs.
  • Lead design and development of services for cloud resource connectivity.

Skills

Python
Java
Scala
C++
Distributed Systems
SaaS Platforms

Job description

P-926

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 setting up the team from scratch in Bengaluru, India.

We are seeking an experienced Staff Engineer with a networking background to join the Networking Infrastructure team. As one of the initial members of the Bangalore site, you will focus on building new backend connectivity services that power millions of VMs running on Databricks. You will also lead the design and development of new services that enable connectivity between our control plane and compute plane. This new platform aims to increase the scalability of our compute plane while efficiently utilizing cloud resources. You will collaborate closely with cross-functional teams, including product management, operations, and other engineering teams, to deliver robust, scalable, and efficient networking systems. This role is ideal 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:
  • 9+ years of production-level experience in 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
About Databricks

Databricks is a data and AI company. More than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Headquartered in San Francisco with offices around the globe, Databricks 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 our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion
Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within the employer's discretion to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.

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