Senior Software Engineer - Data Platform
Databricks8 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build reliable, scalable, and high-performance backend services and client libraries.
- Develop distributed systems, service architectures, workflow orchestration, monitoring, and developer experience capabilities.
- Build services for storing and accessing large amounts of data on cloud storage backends such as AWS S3 and Azure Blob Store.
- Develop data pipelines and platform features supporting pricing infrastructure and customer usage controls.
- Work across Distributed Data Systems areas including Apache Spark, data plane storage, Delta Lake, Delta Pipelines, and performance engineering.
- Collaborate with product management and engineering teams to deliver full-stack user experiences when applicable.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field.
- 7+ years of production-level experience with Python, Java, Scala, C++, or a similar language.
- Experience developing large-scale distributed systems from scratch.
- Experience working on a SaaS platform or with service-oriented architectures.
Benefits
- Comprehensive employee benefits and perks are offered, with specific details varying by region.
- The position is based in Bengaluru, India.
Tech Stack
Categories
BackendData Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.