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 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.
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 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 data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access. Requires 7+ years PM experience and deep expertise in data security, privacy, encryption across multi-cloud environments.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access management across multi-cloud environments. Requires 7+ years PM experience and deep expertise in data security, privacy, and encryption.
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 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.
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.
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.
Provides high-touch technical support and solutions for Databricks' largest customers using deep expertise in Apache Spark, ML/AI, and data technologies. Troubleshoots complex issues, builds POCs, and collaborates onsite with teams; requires 8+ years experience.
PhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
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.
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.
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.
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.
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.
Collaborates with customers and teams to architect big data solutions using Databricks platform for data engineering, science, and ML. Requires 5+ years experience, Python/SQL proficiency, cloud expertise, and distributed systems knowledge.
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.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems 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.
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.
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.
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.
Pre-sales Solutions Architect for Healthcare/Life Sciences, partnering with Account Executives to drive technical strategy, ML/AI adoption, and data transformation for large enterprise accounts. Requires big data expertise, programming in Python/SQL/Scala, and bachelor's degree.
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, 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.
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.
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.
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.
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 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.
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.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Leads product management for Lakeflow in Data Engineering, owning vision, strategy, roadmap, and execution. Partners with teams to integrate across Databricks portfolio. Requires 5+ years PM experience and CS/engineering background.
Owns and evolves the company brand across marketing channels, web, events, and sales. Defines visual systems, creates assets, and collaborates with leadership. Requires 6+ years in brand design, agency experience, and proficiency in Figma, Webflow, Adobe Suite.
Designs, implements, and maintains security measures for AI solutions, automates security processes using cloud tools, leads developer security tooling adoption, and ensures AWS infrastructure protection. Requires hands-on AWS experience and proficiency in Python, Go, Ruby, JavaScript.
Owns API and developer platform for scalable AI-powered video/audio editing workflows. Ships 0-1 technical products with 5+ years PM experience, focusing on customer needs and integrations.
Troubleshoot technical issues for fintech platform users, provide first-line support, maintain knowledge libraries, and refine AI agents in a fast-paced startup. Requires 3-5 years support experience, strong problem-solving, and fintech interest.
Architects Flexport's future fulfillment network by designing scalable processes, building tools with SQL/Python/BI, and leading strategic initiatives across operations, product, and tech. Requires 7-10+ years in logistics/fulfillment with strong technical skills.
Owns end-to-end growth including lifecycle marketing, performance channels (paid search/social), SEO/AEO, website optimization, and analytics infrastructure. Requires 6-8+ years in growth/performance marketing with strong analytics and experimentation skills.
Builds backend primitives and integrations for data connectivity in Retool apps, including managed databases and LLM frameworks. Requires 5+ years full-stack experience, cloud infrastructure, and customer-focused problem-solving.
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 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.
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 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 data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access. Requires 7+ years PM experience and deep expertise in data security, privacy, encryption across multi-cloud environments.
Leads engineering team building security foundations for Databricks' data and AI platform, focusing on secure frameworks, compliance, and cross-functional partnerships. Requires strong engineering management experience and deep security expertise.
Leads data security product strategy for Databricks Lakehouse, delivering controls for privacy, compliance, and access management across multi-cloud environments. Requires 7+ years PM experience and deep expertise in data security, privacy, and encryption.
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 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.
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.
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.
Provides high-touch technical support and solutions for Databricks' largest customers using deep expertise in Apache Spark, ML/AI, and data technologies. Troubleshoots complex issues, builds POCs, and collaborates onsite with teams; requires 8+ years experience.
PhD intern researches and develops techniques to adapt LLMs and AI systems for enterprise domains, including method design, evaluation, and efficient post-training. Requires deep learning proficiency, PyTorch skills, and ongoing PhD studies.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
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.
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.
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.
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.
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.
Collaborates with customers and teams to architect big data solutions using Databricks platform for data engineering, science, and ML. Requires 5+ years experience, Python/SQL proficiency, cloud expertise, and distributed systems knowledge.
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.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems 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.
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.
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.
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.
Pre-sales Solutions Architect for Healthcare/Life Sciences, partnering with Account Executives to drive technical strategy, ML/AI adoption, and data transformation for large enterprise accounts. Requires big data expertise, programming in Python/SQL/Scala, and bachelor's degree.
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, 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.
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.
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.
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.
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 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.
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.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develops ML models for fraud/abuse detection and anomalous activity on Databricks platform. Analyzes security features, collaborates cross-functionally, and deploys production solutions. Requires 7+ years experience, MS in quantitative field, Python/SQL/Spark expertise.
Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.
Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.
Leads product management for Lakeflow in Data Engineering, owning vision, strategy, roadmap, and execution. Partners with teams to integrate across Databricks portfolio. Requires 5+ years PM experience and CS/engineering background.
Owns and evolves the company brand across marketing channels, web, events, and sales. Defines visual systems, creates assets, and collaborates with leadership. Requires 6+ years in brand design, agency experience, and proficiency in Figma, Webflow, Adobe Suite.
Designs, implements, and maintains security measures for AI solutions, automates security processes using cloud tools, leads developer security tooling adoption, and ensures AWS infrastructure protection. Requires hands-on AWS experience and proficiency in Python, Go, Ruby, JavaScript.
Owns API and developer platform for scalable AI-powered video/audio editing workflows. Ships 0-1 technical products with 5+ years PM experience, focusing on customer needs and integrations.
Troubleshoot technical issues for fintech platform users, provide first-line support, maintain knowledge libraries, and refine AI agents in a fast-paced startup. Requires 3-5 years support experience, strong problem-solving, and fintech interest.
Architects Flexport's future fulfillment network by designing scalable processes, building tools with SQL/Python/BI, and leading strategic initiatives across operations, product, and tech. Requires 7-10+ years in logistics/fulfillment with strong technical skills.
Owns end-to-end growth including lifecycle marketing, performance channels (paid search/social), SEO/AEO, website optimization, and analytics infrastructure. Requires 6-8+ years in growth/performance marketing with strong analytics and experimentation skills.
Builds backend primitives and integrations for data connectivity in Retool apps, including managed databases and LLM frameworks. Requires 5+ years full-stack experience, cloud infrastructure, and customer-focused problem-solving.