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 novel GenAI agent interfaces and full-stack solutions for vertical AI products in a 0-to-1 NYC team. Requires 5+ years in frontend/backend web tech, modern JS frameworks, and shipping end-to-end AI products with strong product mindset.
Build novel GenAI agent interfaces and full-stack AI applications for Databricks' platform in NYC. Requires 5+ years in web technologies, modern JS frameworks, server-side langs, and deep generative AI/LLM expertise including RAG and prompt engineering.
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.
Develops observability platforms for massive-scale infrastructure, handling billions of time series and petabytes of logs across global cloud regions. Requires 7+ years experience in systems languages, distributed systems, and cloud technologies like Kubernetes.
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 AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
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.
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.
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.
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.
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 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.
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.
Build full-stack features for Databricks' Data Intelligence Platform, creating scalable workflows for data pipelines, visualization, and collaborative projects. Requires 5+ years in frontend (React) and backend (Node.js/Python) with cloud and distributed systems experience.
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.
Performance engineer evaluates product performance, identifies bottlenecks in large-scale distributed systems, sets benchmarks, and collaborates on scalability solutions. Requires BS in Computer Science and experience in performance analysis.
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 novel GenAI agent interfaces and full-stack solutions for vertical AI products in a 0-to-1 NYC team. Requires 5+ years in frontend/backend web tech, modern JS frameworks, and shipping end-to-end AI products with strong product mindset.
Build novel GenAI agent interfaces and full-stack AI applications for Databricks' platform in NYC. Requires 5+ years in web technologies, modern JS frameworks, server-side langs, and deep generative AI/LLM expertise including RAG and prompt engineering.
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.
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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.
Develops observability platforms for massive-scale infrastructure, handling billions of time series and petabytes of logs across global cloud regions. Requires 7+ years experience in systems languages, distributed systems, and cloud technologies like Kubernetes.
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 AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.
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.
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.
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.
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.
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 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.
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.
Build full-stack features for Databricks' Data Intelligence Platform, creating scalable workflows for data pipelines, visualization, and collaborative projects. Requires 5+ years in frontend (React) and backend (Node.js/Python) with cloud and distributed systems experience.
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.
Performance engineer evaluates product performance, identifies bottlenecks in large-scale distributed systems, sets benchmarks, and collaborates on scalability solutions. Requires BS in Computer Science and experience in performance analysis.