Databricks
Senior Software Engineer - Infrastructure and Tools
San Francisco, CaliforniaEngineering - PipelineFull-timeposted 1w ago
Apply now →<p><span style="font-weight: 400;">P-78</span></p>
<p><span style="font-weight: 400;">While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.</span></p>
<p><span style="font-weight: 400;">At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.</span></p>
<p><span style="font-weight: 400;">As a Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others.</span></p>
<p><strong>The impact you will have:</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Build and extend components of the core Databricks infrastructure</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Improve software development workflows for engineering and operational efficiency.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Develop automated build, test, and release infrastructures.</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.</span></li>
</ul>
<p><strong>What we look for:</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">BS (or higher) in Computer Science, or a related field</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Passion for building highly scalable and reliable infrastructure</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience architecting, developing and deploying large-scale distributed systems at scale</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform.</span></li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li style="font-weight: 400;"><span style="font-weight: 400;">Comprehensive health coverage including medical, dental, and vision</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">401(k) Plan</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Equity awards</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Flexible time off</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Paid parental leave</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Family Planning</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Gym reimbursement</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Annual personal development fund</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Work headphones reimbursement</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Employee Assistance Program (EAP)</span></li>
<li style="font-weight: 400;"><span style="font-weight: 400;">Business travel accident insurance</span></li>
</ul>
<p> </p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p>
<p><strong>Pay Range Transparency</strong></p>
<p><span style="font-weight: 400; font-size: 14px;">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 <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p>
<p> </p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$166,000</span><span class="divider">—</span><span>$225,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p>
<p><span style="font-family: arial, sans-serif;">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 <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>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 <a href="https://www.mybenefitsnow.com/databricks">https://www.mybenefitsnow.com/databricks</a>. <br><br></p>
<p><strong>Our Commitment to Diversity and Inclusion</strong></p>
<p>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.</p>
<p><strong>Compliance</strong></p>
<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>