Senior Software Engineer - Application Traffic team
Databricks - Mountain View, California
Posted Sep 23, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified not verified - source URL not recorded; timestamp not recorded
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $166K-$225K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
68% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer - Application Traffic team Mountain View, California 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.
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