Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Builds and scales Databricks' backend systems for log analytics, AI/BI, data governance, and app infrastructure, using Java/Scala/C++ and cloud technologies.
Designs and builds next-generation database engine internals for a unified data platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
Senior Software Engineer at Databricks in Belgrade designing and building distributed data systems for the Lakehouse platform, using Java/Scala/C++ and big data technologies like Apache Spark.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Senior engineer builds and scales Databricks’ Model Serving platform, designing low-latency inference systems for CPU/GPU workloads and collaborating across teams to operationalize AI/ML models at enterprise scale.
Designs and builds billing, pricing, and cost-optimization systems for Databricks' SaaS platform, processing real-time usage data across AWS, GCP, and Azure.
Build intuitive, high-performance dashboarding tools in a data platform, using React, TypeScript, and cloud services to let users explore and share insights from large datasets.
Builds and maintains Databricks' data and AI infrastructure platform, focusing on distributed systems, cloud storage backends, and scalable backend services using Java, Scala, or C++.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform specialized data warehouses.
Builds and optimizes Databricks' distributed data and AI infrastructure platform in Belgrade, focusing on storage and query engines using Java, Scala, or C++ and big data systems like Apache Spark.
P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This…
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.
Designs and builds scalable, low-latency AI/ML model serving infrastructure for Databricks, focusing on real-time inference, autoscaling, and cross-team collaboration.
Build scalable, customer-facing workflows and modular UI flows for Databricks' data and AI platform, collaborating with global teams to deliver robust, scalable products.
Senior Staff Software Engineer at Databricks in Bengaluru, India, building and scaling distributed systems to process exabytes of data daily for enterprise customers using cloud infrastructure and big data technologies.
We couldn't check your fit for this role — add a CV to your profile to see it next time.