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 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 5 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 about a month ago — first seen on Joblaze September 15, 2026. Last confirmed on Databricks's careers page November 1, 2026.
- Salary band is in line with the typical range for Backend roles (median ~$180,000).
- Starts above 32% of 162 comparable senior backend roles in United States that list Python we track (median $173,958 across 64 companies). See Python salary trends
- Python appears in 41.2% of 520 comparable senior backend roles in United States; microVM appears in 0.2% of 520 comparable senior backend roles in United States.
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.