Databricks
Cloud Infrastructure & DevToolsDirect Greenhouse career site

Senior Software Engineer - Application Traffic team

Pay
$166,000 – $225,000 per year
Location
Mountain View, CA · On-site
Job type
Full-time
Level
Senior
Experience
5+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • Java
  • Scala
  • Go
  • Kubernetes
  • Docker
  • service-oriented architecture

Also useful

  • Envoy
  • DNS
  • load balancing

P-78

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world's best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it's scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we're only getting started.

As a Senior Software Engineer on the Application Traffic team, you will design and build the systems that power Databricks' service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default.

The impact you'll have

You'll work across three key areas that define Databricks' networking stack:

  • Ingress Control Plane: Build the control plane for Databricks' global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.
  • Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don't need to worry about underlying connectivity details.
  • Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.

What we look for

  • BS (or higher) in Computer Science or related field
  • 5+ years of experience designing and building large-scale distributed systems
  • Strong proficiency in one or more languages such as Java, Scala, Go, or C++
  • Experience with service-oriented architectures and large scale distributed systems
  • Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
  • Track record of shipping infrastructure that supports mission-critical workloads at scale

Preferred

background in service discovery, DNS, load balancing, Envoy, or related networking systems

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position 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 $166,000—$225,000 USD

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

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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Software Engineer - Application Traffic team role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Senior Software Engineer - Application Traffic team role at Databricks?

The Senior Software Engineer - Application Traffic team posting at Databricks states compensation of $166,000 – $225,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Senior Software Engineer - Application Traffic team job at Databricks located?

This Senior Software Engineer - Application Traffic team position at Databricks is located in Mountain View, CA (On-site). Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Software Engineer - Application Traffic team at Databricks?

For the Senior Software Engineer - Application Traffic team role, Databricks highlights 5+ years of relevant experience; a bachelor's degree; experience with Java, Scala, Go, Kubernetes, Docker, service-oriented architecture. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Software Engineer - Application Traffic team position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.