Staff Software Engineer - Backend
Databricks· Engineering
Hybrid (London)full-timePosted 8mo ago
About the role
Databricks is hiring a Staff Software Engineer - Backend in London, UK. Join as one of the founding engineers to help build Lakebase product and establish the London presence, contributing to the Lakebase platform, its reliability, and the data/AI infrastructure stack.
Responsibilities
- Lakebase Platform Reliability: cross-functional infrastructure, observability, SLI/SLOs definition and measurements, and AI-powered automation for operational efficiency
- Lakebase Manager (LBM): build and operate the central control plane for Lakebase — database lifecycle management at scale with a focus on reliability
- Lakebase Proxy: develop the core data path handling client connections and transfer of query traffic across Postgres, HTTP, WebSockets, and Data API; focus on performance, observability, and reliability
- Work on challenges spanning product to infrastructure: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience
- Build reliable, secure, high-performance services and client libraries for large-scale data storage across cloud backends (e.g., AWS S3, GCS, Azure Blob Store)
- Develop product features enabling customers to store and access data
- Identify and resolve reliability issues related to Lakebase; drive long-term reliability improvements and define SLIs/SLOs
Qualifications
- BS degree (or higher) in Computer Science, or a related field
- 8+ years of production level experience in Java, Scala, C++, or similar language
- Experience developing large-scale distributed systems
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Knowledge of SQL
Skills
Required:Java, Scala, C++ (or similar language)Distributed systemsSaaS / Service-Oriented ArchitectureSQL
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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