Most Loved Workplace® Certified JobSenior Software Engineer, Compute Infrastructure
Most Loved Workplace® Certified JobAbout the Role
At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.
<p>RDQ427R198</p>
<h3><strong>The Opportunity</strong></h3>
<p>Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of Databricks. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience.</p>
<p>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.</p>
<h3><strong>What You’ll Do</strong></h3>
<ul>
<li>Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.</li>
<li>Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.</li>
<li>Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.</li>
<li>Optimize everything from the API gateway down to the host-level networking and container orchestration.</li>
<li>Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure.</li>
</ul>
<h3><strong>What We’re Looking For</strong></h3>
<ul>
<li>5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language</li>
<li>4+ years of experience developing large-scale distributed systems from scratch</li>
<li>Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GC
Want to learn more about what it's like to work at Databricks? View our full profile.
Prefer to apply on the company's career site?
View Original Posting
Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.
Positive Vision for the Future
Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.
Alignment of Values
Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.
Respect
At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.
Killer Outcomes
Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.
What It's Like to Work Here
Frequently Asked Questions About Working at Databricks
Common questions candidates ask about this role and Databricks's workplace
Apply for Senior Software Engineer, Compute Infrastructure
Submit your application directly to the Databricks team. Let them know why you'd be a great addition to their loved place to work.

