P-1318
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.
Our Developer Experience team is dedicated to making Databricks engineers happy and highly productive. We build the tools, processes, and infrastructure to accelerate engineering velocity as Databricks scales. The ideal candidate will have a mix of technical expertise in one of the language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers, version control systems, and testing, but most importantly, a passion for solving developer experience problems and a pragmatic ability to ship results iteratively.
The impact you'll have:
- Build world-class developer infrastructure that directly empowers every Databricks engineer to do their best work, every day.
- Dramatically boost the reliability, speed, and efficiency of our largest builds, creating a blazing-fast dev loop and making Bazel a breeze to use.
- Create seamless, out-of-the-box development environments and IDE integrations, allowing engineers to dive into coding and debugging instantly, across all major languages (Scala, Rust, Go, Python, etc)
- Actively participate in shaping the roadmap for developer experience improvements, contributing to strategic decisions within the team.
What we look for:
- Strong passion for improving developer workflows, productivity and infrastructure.
- Good understanding of the software development lifecycle and challenges faced by developers operating at scale.
- Experience building internal developer tools, CI/CD systems, or related infrastructure.
- Coding chops, clean, elegant, bug-free code in languages like Scala, Rust, Java, Python, Go
- Minimum of 3 years of experience in fast paced software engineering organisations.
- BS (or higher) in Computer Science, or a related field.
About Databricks
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 Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
