Builds production backend systems for enterprise AI agent platform, turning LLM/agent capabilities into reliable, scalable features with execution engines, orchestration, and observability. Requires 7+ years Python backend experience and hands-on with agent systems.

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.

Leads Notebook Dataplane team to build scalable stateful user code execution service for serverless products. Requires 10+ years software engineering, 3+ years management, and expertise in distributed systems and cloud platforms.

Leads engineering team building unified Workspace Platform infrastructure for Databricks products like content discovery and collaborative editing. Requires 15+ years software engineering, 5+ years management, and expertise in distributed systems and cloud platforms.

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.

Leads global enterprise engineering, building teams to secure and scale cloud infrastructure, IAM, endpoints, and collaboration tools. Requires 10+ years in cloud management, AWS expertise, and remote leadership.

Integrates autonomy software stack for AI robotics platforms, including multi-agent systems, sensor processing, and hardware deployment across simulation, HIL, and flight environments. Requires 7+ years experience, Python/C++, CI/CD expertise, and strong systems integration skills.

Leads hands-on integration and testing of autonomy systems on small unmanned aircraft, debugging issues across hardware, software, and flight environments. Requires 4-7 years experience in robotics/aerospace testing, Python/C++ proficiency, and bachelor's in engineering or related field.

Leads engineering team building LangSmith AI observability platform for LLM apps. Mentors engineers, shapes technical direction, partners with product/design, codes in Go/Python/TypeScript, and engages customers. Requires strong full-stack experience and data-intensive systems design.

Fullstack engineer driving ChatGPT user growth through data analysis, product experiments, backend APIs, and web optimizations like SEO and notifications. Requires analytical skills, A/B testing experience, and comfort with ambiguity.

Leads integration of electrical, thermal, mechanical, and networking systems in modular data centers for high-density AI compute. Ensures compatibility with power sources, optimizes thermal management, and supports transition to liquid cooling with 6+ years systems engineering experience.

Builds and scales backend services and full-stack features powering healthcare logistics, patient booking, clinician routing, and device integrations. Requires 5+ years experience in production systems, APIs, and high-growth environments.

Leads cross-functional verification and validation programs for autonomous vehicle safety, coordinating across software, hardware, and operations teams to meet performance and reliability requirements. Requires 7+ years in technical program management, preferably in automotive or robotics.

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 IAM teams to build and operate enterprise identity, authentication, authorization, and governance systems at global scale. Requires 8-12+ years experience in security/identity engineering, deep IAM expertise, cloud architecture (AWS/GCP/Azure), and Zero Trust principles.

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.

Senior Software Engineer designs and automates networking infrastructure for large-scale compute clusters across cloud providers, ensuring secure connectivity for data/AI workloads. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems.

Designs and automates networking infrastructure for large-scale Databricks compute clusters across cloud providers. Requires 5+ years in Python/Java/Scala/C++ and 4+ years in distributed systems with networking 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.

Leads engineering team in UI Platform to enhance developer productivity via fast dev loops or unified interfaces using React, TypeScript, and GraphQL. Requires 5+ years frontend experience and 2+ years management of distributed teams.

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.

Builds secure distributed systems to protect customer data in Databricks' data and AI platform. Requires 5+ years in data security, expertise in areas like Kubernetes security and cryptography, plus MS/PhD and leadership skills.

Engineering manager leading Spark Structured Streaming development, enhancing stream processing with advanced features and performance improvements. Requires 5+ years in big data/Spark, team leadership, and distributed systems expertise.

Leads security infrastructure engineering at Databricks, plugging critical gaps in large-scale systems, with 15+ years experience in distributed systems and 9+ in data security areas like Kubernetes security and cryptography. Requires MS/PhD and strong leadership.

Leads development of secure IAM systems for Databricks' data and AI platform, plugging security gaps and building highly available distributed systems. Requires 7+ years in data security, 10+ years in distributed systems, MS/PhD, and expertise in IAM, Kubernetes, cryptography.

Engineering Manager leading IAM team to scale authentication, authorization, and identity services for Databricks' data and AI platform. Requires 5+ years leadership, deep IAM expertise, and experience with large-scale secure systems.

Leads privacy and security engineering to secure Databricks' data platform, identifies infrastructure gaps, and drives strategy. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.

Leads security infrastructure engineering at Databricks, enhancing platform security, building scalable systems, and driving strategy. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.

Leads development of IAM and security systems at scale to protect customer data on Databricks platform. Requires 7+ years in data security, 10+ years in distributed systems, and MS/PhD.

Leads IAM and security engineering to secure Databricks' data platform, plugging infrastructure gaps and building scalable systems. Requires 9+ years in data security, 15+ years in distributed systems, and MS/PhD.

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.

Designs, implements, tests, and operates backend microservices for Databricks' large-scale data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in distributed systems and SaaS platforms.

Staff Backend Software Engineer designs, builds, and operates scalable microservices for Databricks' data/AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.

Build scalable backend infrastructure and products for Databricks platform, focusing on serverless, cloud core, partner ecosystems, notebooks, and application platforms. Requires 5+ years experience with Java/Scala/Golang/C++, distributed systems, cloud tech, and SaaS.

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.

Designs and implements next-gen query engines and storage for Lakehouse architecture, focusing on query optimization, distributed execution, vectorized processing, and efficient storage. Requires 8+ years in database/distributed systems.

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.

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.

Designs, builds, and operates scalable backend microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed 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.

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.

Designs, builds, and operates scalable microservices for Databricks' data and AI platform using Scala/Java, Spark, Kafka, and cloud technologies. Requires 10+ years experience in large-scale distributed systems.

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.

Build and extend scalable infrastructure for Databricks' data and AI platform, including multi-cloud systems and Kubernetes at massive scale. Requires 5+ years experience in Java/Scala/Go/C++/Python, distributed systems, and cloud technologies.

Build scalable backend infrastructure and products for Databricks' data and AI platform, focusing on resource management, distributed systems, and machine learning. Requires 5+ years experience with Java/Scala/C++, large-scale systems, and cloud technologies.

Build AI/ML environment infrastructure enabling researchers to configure training and serving setups reliably. Requires 5+ years backend experience, strong Python/Scala/Java skills, and expertise in distributed systems and containerization.

Leads compute fleet management across AWS, Azure, and GCP, optimizing billions of resources for peak performance, 99.99% availability, and 60%+ utilization. Requires deep distributed systems expertise and cross-team leadership for mission-critical infrastructure.

Designs and implements advanced query engines and storage systems for Lakehouse architecture, focusing on performance optimization across ETL, BI, and ML workloads. Requires 5+ years in database/distributed systems.