Latest Backend Engineering jobs at Databricks

Senior engineer building autonomous analytical data systems for Unity Catalog Managed Tables, focusing on Predictive Optimization, Liquid Clustering, and large-scale storage innovations. Requires 15+ years building distributed systems and strong expertise in databases and performance optimization.

Builds and scales backend services for Databricks' Data Intelligence Platform in public sector sovereign and air-gapped cloud environments. Requires 9+ years experience in distributed systems using Java/Scala/Go and TS/SCI clearance eligibility.

Designs and builds scalable backend services in Java, Scala, or Go for Databricks' Data Intelligence Platform in sovereign/air-gapped public sector clouds. Requires 6+ years experience, distributed systems expertise, and TS/SCI clearance eligibility.

Leads technical architecture and engineering for Lakeflow Pipelines Datasets platform, owning long-term direction for declarative pipelines, materialized views, and data infrastructure at exabyte scale. Requires 10+ years in large-scale distributed systems with deep expertise in databases, storage, or streaming.

Builds infrastructure powering Databricks' AI platform including MLflow, AI Gateway, and model serving. Requires 5+ years backend experience with Scala, Go, or Python, and expertise in distributed systems and scalable APIs.

Designs and implements advanced database engine components like query optimization, distributed execution, and storage structures at Databricks. Requires PhD in databases/systems and passion for systems performance.

Software engineer on the Database Engine team designing and implementing advanced systems for query optimization, distributed execution, vectorized engines, and storage structures. Requires PhD in databases or systems with passion for cutting-edge performance optimization.

Build distributed data storage and processing systems at Databricks, including Apache Spark, Delta Lake, and performance engines. Requires 8+ years in Java/Scala/C++, expertise in distributed systems, databases, and big data technologies.

Builds LLM infrastructure for AI workloads, improves reliability and efficiency of distributed systems, and collaborates with ML teams. Requires 8+ years backend experience with Scala, Go, or Python, and expertise 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.

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, 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.

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.

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.

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.

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 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.