Leads a team building and maintaining the frontend developer platform at Databricks, enabling hundreds of engineers to ship high-quality React-based features efficiently using TypeScript, GraphQL, and related tools.
Mid-level backend engineer building a Third Party Risk Management SaaS platform in Laravel/PHP, designing APIs, mentoring junior devs, and using AI tools to ship reliable code.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
Build and scale Databricks' backend infrastructure and services, including serverless platforms, cloud systems, and partner integrations, using languages like Java, Scala, or Go.
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' data and AI infrastructure platform, focusing on distributed systems, cloud storage backends, and scalable backend services using Java, Scala, or C++.
Backend software engineer at Databricks building platform infrastructure at scale — cloud-agnostic infrastructure abstractions, service platforms, ML infrastructure, and developer tooling (currently focused on the Rust development experience). Requires 2+ years of professional experience with backend languages such as Java, Scala, or Go, based in Aarhus, Denmark.
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.
A Developer Advocate at Databricks focuses on building tools, content, and community around Neon, a serverless Postgres platform, by maintaining SDKs, creating technical resources, and engaging with developers through events and online spaces.
Designs intuitive AI-powered analytics and business intelligence tools that let users query data in plain language and trust AI-generated insights, collaborating with engineering teams in Seattle.
Lead the vision and roadmap for Databricks Repos, defining how data and AI teams manage code, collaborate, and deploy workflows within the Databricks platform using Git integration and AI-assisted features.
Builds and scales Databricks' backend infrastructure, including cloud-agnostic platforms and developer tools, using languages like Java, Scala, or Go.
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Designs and builds scalable backend services for a data/AI platform, focusing on distributed systems, cloud storage integration, and SaaS architecture.
Staff Software Engineer designing and scaling backend systems for Databricks' data and AI platform, working with distributed systems, cloud storage, and Scala/Kubernetes in Bengaluru.
Designs and builds scalable backend services for Databricks' Lakehouse Platform, focusing on reliability and performance for data infrastructure in London.
A senior engineer at Databricks designs and scales core data platforms like workspaces and notebooks, using distributed systems in Python/Java/Scala to support 10X–100X growth and improve developer experience.