Senior Software Engineer, Compute Infrastructure
Build the next generation of Databricks' Serverless platform as a Senior Software Engineer focused on multi-cloud infrastructure.
Posted by employer 23 hours ago
First seen on Joblaze 13 hours ago
Last verified on the company career page 13 hours ago
Skills & Technologies
What you'll build
- Design and build the next generation of our Serverless platform
- Build a single compute stack that supports heterogeneous workloads
- Develop platform-level abstractions for multi-cloud
- Optimize API gateway and host-level networking
- Work alongside industry experts on world-class systems
Must have
- 5+ years of production-level experience in Python, Java, Scala, C++, or similar
- 4+ years of experience developing large-scale distributed systems
- Experience with Kubernetes, Docker, or MicroVM technologies
- Strong grasp of cloud provider internals (AWS/Azure/GCP)
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer focuses on designing and building a next-generation serverless platform that emphasizes high availability and low latency across multiple cloud environments. Key skills include extensive experience with distributed systems, proficiency in programming languages like Python or Java, and familiarity with container technologies such as Kubernetes and Docker. This position is ideal for seasoned engineers with a strong background in cloud infrastructure and a hands-on approach to problem-solving. The team comprises industry veterans who have previously developed large-scale systems, providing a rich environment for technical growth.
Joblaze insights
- Listed today on Joblaze — tracked directly from Databricks's career page.
- Databricks has 926 other open roles including Tax Data & Technology Manager, Strategy & Execution Manager, Delivery Solutions Architect - Healthcare & Life Sciences.
- 6554 active Python roles on Joblaze right now.
- 2734 active AWS roles on Joblaze right now.
- 2578 active Kubernetes roles on Joblaze right now.
- Salary band is in line with the typical range for Backend roles (median ~$180,000).
- Pays more than 53% of the 3231 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Databricks lists $164,200–$205,200 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer, Compute Infrastructure role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, C++, Docker, Firecracker, GCP.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Compute Infrastructure role at Databricks.
From the original posting
RDQ427R198
The Opportunity
Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience.
As an engineer on this team, you won’t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP.
What You’ll Do
- Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.
- Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.
- Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.
- Optimize everything from the API gateway down to the host-level networking and container orchestration.
- Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure.
What We’re Looking For
- 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 with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP).
- You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale.
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.