# Sr Software Engineer-Networking

**Company**: Databricks
**Location**: Bellevue, Washington
**Experience**: senior
**Job type**: full-time
**Salary**: $157,000-$213,800 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8211450002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_27ae41cd-5c4

## Description

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 are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks.

Responsibilities:

- Design and develop secure and scalable connectivity that powers all the data / AI workloads.

- 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.

Requirements:

- 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language.

- 4+ years of experience developing large-scale distributed systems from scratch.

- Experience working on a SaaS platform or with Service-Oriented Architectures.

- Extensive experience working on large-scale compute clusters, network connectivity, and automation.

Pay Range Transparency: The pay range for this role is $157,000-$213,800 USD.

Benefits: Comprehensive benefits and perks that meet the needs of all employees.

## Skills

### Required
- Python
- Java
- Scala
- C++
- large-scale distributed systems
- SaaS platform
- Service-Oriented Architectures
- network connectivity
- automation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8211450002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
