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Designs and builds scalable backend services for a data/AI platform, focusing on distributed systems, cloud storage integration, and SaaS architecture.
Designs and scales backend systems for Databricks' data and AI platform, focusing on log analytics, AI/BI, or distributed data governance in Vancouver.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
Builds and optimizes Databricks' distributed data and AI infrastructure platform, focusing on storage and query engines, while mentoring engineers and driving long-term technical vision.
Designs and builds high-scale APIs for serving large language models (LLMs) and GPU inference workloads, focusing on performance, reliability, and operational excellence.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Designs and builds scalable, low-latency AI/ML model serving infrastructure for Databricks, focusing on real-time inference, autoscaling, and cross-team collaboration.
A Solutions Architect at Databricks partners with enterprise clients in Mexico City to design and implement data-driven strategies using Databricks' ML & AI platform, requiring up to 50% travel in LATAM.
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues…
Leads the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on ML models, NLP pipelines, and evaluation frameworks to improve asset discovery at scale.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
Builds and scales Databricks' Lakehouse Platform backend services in Berlin, focusing on distributed systems, cloud storage integration, and high-performance data infrastructure.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and SaaS services using languages like Scala and Java.
Builds and maintains Databricks' modern SaaS data and AI platform, focusing on full-stack development for SQL analytics, workflows, and developer tools using JavaScript, React, Node.js, Python, and cloud services.
Senior engineer building and optimizing Databricks' Delta Lake backend systems to handle massive-scale data writes with high performance and reliability.
Lead the design and development of Databricks' next-generation Materialized Views system, optimizing query performance and ETL workloads at massive scale using distributed systems and database technologies.
Leads security engineering for Databricks' identity and access management systems, hardening infrastructure against threats and shaping security strategy at scale.
Senior engineer designs and builds scalable data pipelines and streaming systems for Databricks' ETL platform, handling exabytes of data daily with technologies like Apache Spark and Delta Lake.
Design and lead Databricks' next-generation multi-cloud networking infrastructure, scaling connectivity and observability for millions of VMs while shaping core platform architecture.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and scalable services using languages like Scala and Java.
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