Latest Fullstack Engineering jobs at Databricks

Leads the technical direction and delivery of Genie One across web, iOS, Android, macOS, and Windows. Requires 8+ years of software engineering experience, staff-level architecture leadership, and strong JavaScript or TypeScript expertise with React and mobile or desktop development.

Leads architecture, development, reliability, and technical direction for large-scale distributed systems, while mentoring engineers and driving complex cross-functional initiatives. Requires 12+ years of experience building and supporting distributed systems.

Build secure, scalable data and AI applications on Databricks, including interactive interfaces, APIs, dashboards, and conversational analytics solutions. The role requires 5+ years of full-stack application development experience and proficiency with Python plus modern web frameworks.

Build and deploy production-grade AI agents and LLM applications across React frontends, Python or Node.js middleware, and backend integrations. The role requires 3+ years of full-stack experience, strong Python and React skills, and hands-on production AI-agent development.

Leads browser, mobile, and server-side data collection systems, including SDKs, identity handling, schema compatibility, and integrations. Requires 10+ years of engineering experience, deep JavaScript expertise, SDK ownership, and technical and people leadership.

Leads the architecture and delivery of sales data models and production AI agents that improve CRM workflows for sales and revenue teams. Requires 10+ years of engineering experience, deep CRM platform expertise, and experience with permissioned writes and human-in-the-loop agent systems.

Software engineering interns will build and deliver platform features across areas such as backend, infrastructure, systems, cloud, databases, and customer-facing products. Candidates should be graduating in 2027 or 2028 and have programming experience with Python, Java, or C++ plus strong fundamentals in algorithms and data structures.

Build secure, scalable enterprise capabilities for CustomerLake, including access controls, auditability, governance, entitlements, and administrative experiences. The role requires 8+ years of software engineering experience, deep backend expertise, full-stack capability, and experience with enterprise SaaS or related platform systems.

Build production-grade SAP extensions, integrations, and AI-powered finance workflows across SAP BTP and Databricks. The role requires 6+ years of SAP development experience, modern ABAP, Fiori, integration, cloud engineering, and familiarity with generative AI and agentic applications.

Build scalable, customer-focused data and AI products across the full stack, spanning user experience, frontend architecture, server-side technologies, cloud platforms, and distributed systems. The role requires extensive experience with web technologies and modern JavaScript frameworks.

Build scalable full-stack products that simplify data insights across Databricks’ analytics and AI platform. The role requires strong front-end architecture, modern JavaScript and server-side development experience, SQL, cloud technologies, and large-scale distributed systems expertise.

Build customer-facing, self-serve workflows and modular UI experiences for the Databricks Control Plane. The role leads large-scale distributed product initiatives, partners cross-functionally, and mentors engineers while requiring 10+ years of industry experience.

Build and operate full-stack SaaS products across frontend, backend, and distributed systems. The role requires strong JavaScript and frontend architecture experience, server-side development skills, cloud technologies, and 5+ years of professional experience.

Owns the architecture, engineering, and operations of AI-powered learning platforms and integrations. The role requires 5–7 years of production software or data platform experience, strong full-stack or platform engineering skills, and expertise in secure, scalable data-intensive systems.

Technical lead building and operating the Lakebase Manager control plane for managed Postgres on the lakehouse. Own architecture, reliability (SLIs/SLOs, HA/failover), cross-team initiatives, and mentor the team as a hands-on IC.

Staff Software Engineer owning the AI-native web platform at Databricks, including web framework, design system, CMS, infrastructure, CI/CD, and SDLC agents. Requires 12+ years software engineering experience with web platform leadership, deep full-stack web expertise, and a vision for AI-native development.

Technical lead building production agentic/LLM systems to automate HR, recruiting, and People Tech workflows at Databricks. Requires 8+ years engineering experience and 2+ years with agents, RAG, and multi-agent orchestration.

Own and evolve the AI-native web platform (frameworks, design systems, CMS, CI/CD, infrastructure) at Databricks. Drive architectural decisions, pioneer agentic SDLC workflows, and mentor engineers. Requires 12+ years experience and 3+ years technical leadership.

Build novel GenAI agent interfaces and full-stack solutions for vertical AI products in a 0-1 NYC team. Requires 10+ years in JS frontend/backend, modern frameworks, and shipping end-to-end AI products with strong product mindset.

Build novel GenAI agent interfaces and end-to-end AI features using full-stack development for Databricks' NYC team. Requires 10+ years in web technologies, generative AI expertise including LLMs/RAG, and product mindset in 0-1 environments.

Build AI-powered support automation systems at scale for Databricks customers. Design agentic workflows, full stack development, and integrate with distributed platforms across multi-cloud environments; requires BS in CS and extensive production experience.

Build scalable fullstack applications for data workflows, pipelines, and collaborative projects at Databricks. Requires 5+ years in HTML/CSS/JS, modern JS frameworks, and leading large-scale efforts with UX focus.

Leads technical vision and architecture for AI-powered support automation systems at Databricks. Builds agentic workflows, full stack development, and integrates with multi-cloud environments to enhance customer experience and scalability.

Designs and manages billing systems for Databricks products across cloud providers, handling usage metering, pricing strategies, and cost optimization using AI. Requires 9+ years experience with distributed systems, data pipelines, and leadership skills.

Defines vision, architecture, and strategy for Databricks' app and partner ecosystem. Builds frameworks, APIs, and tools for seamless integrations; leads engineering teams and requires 10+ years in data-intensive systems.

Build UI-first GenAI applications for complex data workflows and visualizations in NYC office. Requires 10+ years in fullstack development with strong frontend architecture, modern JS frameworks, and server-side technologies.

Leads development of end-to-end AI-powered full-stack applications for enterprise workflows at Databricks. Requires 12+ years software engineering experience with 3+ years technical leadership in cloud-native systems.

Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.

Sr. Software Engineer on Money team designs and manages billing systems, develops pricing primitives, enhances infrastructure reliability, and uses AI for cost optimization across major cloud providers. Requires BS in CS and experience with distributed services at scale.

Lead engineering for Materialized Views at Databricks, designing scalable systems for ETL and query acceleration. Requires 15+ years in distributed systems, deep expertise in databases/storage, and strong algorithms knowledge.

Designs and manages billing systems for Databricks products across major clouds, develops pricing primitives, enhances infrastructure reliability, and leads with AI for cost optimization. Requires BS in CS and proven distributed systems experience.

Leads technical vision and execution for user activation features like onboarding and workspace experiences at Databricks. Requires 15+ years software engineering, 5+ years management, and full-stack expertise in scalable SaaS platforms.

Build robust, scalable frontend experiences for Databricks' data and AI platform, focusing on user-centric workflows for data pipelines, visualization, and collaborative projects at massive scale. Requires 5+ years in JavaScript and modern frameworks.

Fullstack engineer building scalable data platforms with user-friendly workflows for compute clusters, pipelines, and collaborative projects. Requires 5+ years in frontend (React) and backend (Node.js, Java, Python), plus cloud and distributed systems experience.

Develop full-stack web applications for GenAI observability platform, focusing on intuitive UI/UX, scalable backend APIs, and performance optimization. Requires 5+ years in JavaScript frameworks and server-side technologies like Java/Python.

Leads technical vision and development of search quality systems, including ranking models, relevance evaluation, and hybrid retrieval for enterprise AI applications. Requires 10+ years experience in large-scale search and ML-driven relevance systems.

Leads development of AI-powered systems for customer engagement using ML/LLMs to provide precise solutions and escalations. Requires 6+ years in large-scale distributed systems with strong product and ML expertise.

Designs and builds service-to-service communication systems, ingress control planes, and overload protection for Databricks' multi-cloud infrastructure. Requires 5+ years in distributed systems, proficiency in Java/Scala/Go/C++, and cloud/container experience.