GAQ225R147
Location: San Francisco, CA or Mountain View, CA
At Databricks, we are passionate about helping data teams 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.
At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.
The impact you will have:
- Architect complex solutions that integrate AI-powered features such as chatbots, virtual assistants, predictive recommendations, and agentic workflows.
- Design, develop, manage, and deploy scalable full-stack applications on cloud-native, distributed systems with embedded AI capabilities.
- Prototype and productionize AI use cases using tools like LLMs, vector databases, prompt engineering, and agentic workflows.
- Collaborate with Product Managers, UX Designers, Enterprise Security, Data Teams, and Integration Teams to deliver secure, scalable, AI-driven solutions.
- Mentor peers on best practices in full-stack development, cloud architecture, and AI technologies, helping to shape the team’s technical roadmap.
- Stay ahead of the curve by continuously researching and experimenting with emerging AI trends, frameworks, and tools to drive innovation.
What we look for:
- 8 years of related experience with both front-end tools like ReactJS, Django, and backend stack such as Java, Go, and Python
- Experience developing scalable, secure, and resilient applications
- Hands-on experience building AI-powered solutions, including projects involving Generative AI (LLMs, agentic frameworks, Vector Search, prompt engineering etc.) or other machine learning technologies.
- Experience building integrated solutions with SaaS platforms such as Salesforce, Workday, ERP, etc.
- Strong experience with cloud technologies (AWS, Azure, or GCP), along with a solid grasp of DevOps practices and CI/CD pipelines.
- Demonstrated experience in design practices, code reviews, automated testing, and monitoring/logging
- Deep understanding of security best practices, including systems that process sensitive or regulated data.
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 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.
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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.
