Senior Software Engineer - Application Traffic team

Databricks; Mountain View (CA); On-site; USD 166,000 - 225,000; Full time

Benefits offered by this job

Comprehensive benefits

Annual performance bonus

Equity options

Job summary

A leading data and AI company in Mountain View is seeking a Senior Software Engineer for the Application Traffic team. The role involves designing systems for service-to-service communication in a multi-cloud environment. Ideal candidates should have over 5 years of experience in distributed systems and strong skills in programming languages such as Java or Scala. Competitive pay range of $166,000—$225,000 USD is offered.

Qualifications

• 5+ years of experience designing and building large-scale distributed systems.
• Strong proficiency in one or more programming languages.
• Experience with cloud platforms and container technologies.

Responsibilities

• Design and build systems for service-to-service communication.
• Build control planes for API gateways and service discovery.
• Create rate limiting and admission control systems.

Skills

Java

Scala

Go

C++

Distributed systems design

Service-oriented architectures

Education

BS in Computer Science or related field

Tools

AWS

Azure

GCP

Kubernetes

Docker

Job description

Senior Software Engineer - Application Traffic team

Join to apply for the Senior Software Engineer - Application Traffic team role at Databricks

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.

Responsibilities

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.

Impact You’ll Have

• 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

About Databricks

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, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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, and other protected characteristics.

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.