Sr Software Engineer-Networking

Overview

Databricks is a data and AI company focused on enabling data teams to solve the world s toughest problems by building and running a unified data and AI infrastructure platform.

Networking Infrastructure is a core part of the platform that powers all our data and AI products and security features, enabling connectivity to cloud resources and preventing data exfiltration.

We are seeking experienced Senior Software Engineers with large-scale distributed systems experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers data and AI workloads. 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 multicloud and distributed systems challenges.

• Design and automate networking foundations for large-scale compute clusters across major cloud providers
• Connect millions of virtual machines running on Databricks
• Lead the design and development of secure and scalable connectivity for data and AI workloads
• Collaborate with product management, operations, and other engineering teams to deliver robust, scalable networking systems
• Contribute as a hands-on leader in a fast-paced, multicloud, distributed-systems environment

• 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 with large-scale compute clusters, network connectivity, and automation

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$157,000 — $213,800 USD

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, Linked In and Facebook.

Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on benefits offered in your region, please visit

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire 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, or other protected characteristics.

If access to export-controlled technology or source code is required for performance of job duties, it is within the employer s discretion whether 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.