Qualifications
What You Will Contribute:Collaborate across multiple domains within our critical service platforms, tackling challenges that range from product to infrastructure, including distributed systems, scalable service architecture, monitoring, workflow orchestration, and enhancing developer experience.Design and implement reliable, secure, and high-performance services and client libraries for managing vast data volumes on cloud storage solutions such as AWS S3, GCS, and Azure Blob Store.Create product features that empower our customers to effortlessly store and access their data.Desired Skills and Experience:Bachelor’s degree (or higher) in Computer Science or a related field.A minimum of 3 years of production-level experience in Java, Scala, C++, or comparable programming languages.Proficiency in developing large-scale distributed systems.Experience with SaaS platforms or Service-Oriented Architectures.Familiarity with SQL.
About the job
At Databricks, we are dedicated to empowering data teams to tackle the world’s most challenging problems—whether it's revolutionizing transportation or advancing medical innovations. Our mission is to create and operate the leading data and AI infrastructure platform, enabling clients to harness deep data insights for improved business outcomes.
Founded by visionary engineers, Databricks is on an exciting multi-year journey to develop the ultimate Data Intelligence Platform. We are building upon a robust foundation with the ambition to create significantly better products. Our aim is to reimagine every component to deliver the fastest, easiest, and most secure data platform suited for all data workloads.
As a Backend Software Engineer, you will become a key member of not only the Belgrade site but also a pivotal team in our quest to realize the Lakehouse vision. You will engage in the complete development cycle and embody the core values of Databricks.
About Databricks
Databricks is a leading data and AI company with over 10,000 organizations globally—ranging from Comcast and Condé Nast to more than half of the Fortune 500—leveraging the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Headquartered in San Francisco with a worldwide presence, Databricks was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.