Role at a glance
- Salary
- $166K – $225K/yr
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of experience designing and building large-scale distributed systems
- Education
- BS (or higher) in Computer Science or related field
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Role Summary
As a Senior Software Engineer on Databricks’ Application Traffic team, this role builds systems for service-to-service communication across thousands of clusters in a multi-cloud environment. The team develops networking abstractions and infrastructure that support connectivity, discovery, reliability, and secure API exposure across Databricks services.
What You'll Do
- Build the control plane for Databricks’ global ingress layer.
- Enable programming of API gateways with static and dynamic endpoints.
- Simplify service onboarding and secure API exposure across clouds.
- Design scalable mechanisms for service discovery and load balancing across thousands of clusters.
- Build networking abstractions for product teams.
- Build rate limiting and admission control systems to protect critical services under high load.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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 AWS, Azure, GCP, Kubernetes, and Docker; track record of shipping infrastructure that supports mission-critical workloads at scale
Required
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.
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 click here.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.