Design and implement production-ready streaming architectures, onboard customers, and build integrations for Redpanda's data platform. Requires 7+ years in customer-facing distributed systems roles and proficiency with Kafka, cloud platforms, and security technologies.

Principal Engineer leads Authentication strategy at Databricks, crafting secure, scalable systems with 15+ years in distributed systems and data security expertise. Requires MS/PhD, leadership, and experience in identity management and access control.

Leads engineering team building scalable Vector, Keyword, and Hybrid Search services for AI applications. Requires 5+ years in search/database systems, strong leadership, and BS in Computer Science.

Build and operate scalable, highly available cloud-native database infrastructure for ClickHouse’s serverless platform. The role requires 5+ years of distributed-systems experience, production programming in Go, C++, or Java, cloud infrastructure expertise, and operational on-call experience.

Technical Product Manager drives product improvements in OLTP databases or data governance, bridging technical field teams with product/engineering. Requires 5+ years experience, deep domain expertise, strong Python/SQL skills, and systems design knowledge.

Resident Solutions Architect works on customer engagements using Databricks platform for data engineering, data science, and cloud projects. Requires 6+ years in data engineering, Spark expertise, cloud knowledge, and client project delivery skills.

Resident Solutions Architect delivers billable professional services on Databricks platform, handling data engineering, AI projects, architecture design, and customer integrations. Requires 6+ years in data platforms, Spark expertise, cloud proficiency (AWS/Azure/GCP), Python/Scala coding, with 20% travel.

Leads product vision for Databricks Repos, enhancing Git-based workflows for data/AI teams with AI-assisted features and integrations. Requires 5+ years PM experience in developer tools and hands-on building.

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 product vision, strategy, and roadmap for Databricks Compute Platform (Classic, SQL Warehouses, Serverless). Collaborates cross-functionally with engineering, customers, and stakeholders to deliver high-impact features. Requires 5+ years PM experience in cloud/data platforms and CS background.

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.

Drive product vision and strategy for Databricks AI platform, partnering with engineering and research to transform AI breakthroughs into scalable enterprise tools. Requires 5+ years PM experience, strong technical background in AI/ML, and SQL analytics skills.

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.

Leads product vision, strategy, and execution for Unity Catalog governance and security features in Databricks Lakehouse platform. Requires 5+ years B2B PM experience, CS background, and expertise in data infrastructure for enterprise customers.

Leads product vision, strategy, and execution for Unity Catalog governance platform. Drives new security features, platform services, and customer adoption, requiring 5+ years B2B PM experience and data tech background.

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.

Senior Product Manager shapes vision, strategy, and roadmap for Databricks Free Edition to make data and AI learning engaging and accessible. Collaborates cross-functionally, engages users, and defines success metrics; requires 5+ years PM experience in data/AI.

Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.

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.

Entry-level SDR generates leads and builds pipelines through outbound calling, emails, and research, targeting Portuguese-speaking prospects. Requires passion for tech sales, fluent Portuguese/English, and strong communication skills.

Serves as in-house AI policy expert, conducting research, developing messaging strategies, and advising Democratic stakeholders on AI regulation, safety, and societal impacts. Requires 2-5 years in tech policy or campaigns, strong communication skills, and survey research familiarity.

Drives new business growth selling intelligence platform to U.S. Department of Defense and Federal Intelligence Community. Runs full sales cycles, exceeds quotas, and expands National Security territory with 5+ years federal sales experience.

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 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.

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.

Designs, implements, and optimizes high-performance GPU kernels for GenAI inference stack. Leads performance improvements, mentors engineers, and collaborates with ML and systems teams. Requires deep kernel programming and GPU architecture expertise.

Leads architecture, development, and optimization of GenAI inference engine for high-throughput, low-latency LLM serving. Requires 6+ years in performance-critical systems, deep ML inference expertise, CUDA/GPU programming, and distributed systems.

Designs and builds scalable, low-latency model serving infrastructure for AI/ML models across CPU/GPU workloads. Requires 10+ years in large-scale distributed systems and deep expertise in inference systems, architecture, and cross-team collaboration.

Designs and builds scalable, low-latency systems for serving frontier AI models on GPUs. Requires 10+ years in large-scale distributed systems, strong system design skills, and leadership in operational excellence; no prior AI experience needed.

Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.

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.

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.

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.

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 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 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 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 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 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, 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 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.

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.