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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.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
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.
Senior engineer builds and tunes hybrid search systems that power both human users and AI agents, blending keyword and vector retrieval with relevance metrics like nDCG and MRR.
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.
Lead the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on query understanding, retrieval, and evaluation at scale.
Builds and optimizes search systems that power both AI agents and human users, focusing on hybrid retrieval, ranking models, and relevance metrics using Lucene/Elasticsearch and embeddings.
Leads the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on ML models, NLP pipelines, and evaluation frameworks to improve asset discovery at scale.
Senior Staff Software Engineer at Databricks builds and scales distributed data and AI infrastructure, owning product direction and solving large-scale technical challenges for global enterprises.
Senior engineer building and optimizing Databricks' Delta Lake backend systems to handle massive-scale data writes with high performance and reliability.
Lead the design and development of Databricks' next-generation Materialized Views system, optimizing query performance and ETL workloads at massive scale using distributed systems and database technologies.
Leads security engineering for Databricks' identity and access management systems, hardening infrastructure against threats and shaping security strategy at scale.
Senior engineer designs and builds scalable data pipelines and streaming systems for Databricks' ETL platform, handling exabytes of data daily with technologies like Apache Spark and Delta Lake.
Design and lead Databricks' next-generation multi-cloud networking infrastructure, scaling connectivity and observability for millions of VMs while shaping core platform architecture.
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