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Data Engineer role focusing on building scalable web applications and managing reliable data pipelines using GCP, with responsibilities including designing data architectures and building automated workflows.
Builds scalable cloud pipelines and web data solutions using Java/Scala/SQL on GCP, collaborating with frontend/backend teams to ensure reliable data infrastructure.
Builds intuitive, scalable AI-driven interfaces and workflows for Databricks' platform, leveraging generative AI and modern web technologies in a startup-like NYC team.
Builds AI-powered data applications from scratch in a startup-like team within a large tech company, focusing on intuitive GenAI interfaces and full-stack development.
Designs and builds scalable backend systems for a data/AI platform used in government cloud environments, using languages like Java, Scala, or Go.
Design and lead Databricks' next-generation network infrastructure, building scalable, multi-cloud connectivity platforms that power millions of VMs and enterprise security features.
Designs and builds scalable backend systems for a data/AI platform used in sovereign and air-gapped cloud environments, primarily in Java, Scala, or Go.
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Designs and builds scalable backend services for Databricks' Lakehouse Platform, focusing on reliability and performance for data infrastructure in London.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Senior Software Engineer designs and automates secure, scalable networking infrastructure for large-scale compute clusters across major cloud providers, powering Databricks' data and AI platform.
Builds and scales Databricks' backend systems for log analytics, AI/BI, data governance, and app infrastructure, using Java/Scala/C++ and cloud technologies.
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.
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++.
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.
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