Senior Backend Engineer — Scalable Cloud Data Platforms

Databricks; Mountain View (CA); On-site; USD 166,000 - 225,000; Full time

Benefits offered by this job

Comprehensive health coverage

401(k) Plan

Equity awards

Flexible time off

Paid parental leave

Gym reimbursement

Employee Assistance Program (EAP)

Job summary

Databricks, located in Mountain View, California, is seeking an experienced engineer to develop scalable services and manage resource infrastructure for big data and machine learning workloads. The ideal candidate will have over 5 years of experience in Java, Scala, or C++, and a strong background in cloud technologies.

Join us in building a data and AI infrastructure platform that empowers organizations to leverage deep data insights for their business challenges. We offer a dynamic work environment with competitive salaries and a comprehensive benefits package.

Qualifications

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large‑scale distributed systems.
• Experience working on a SaaS platform or with Service‑Oriented Architectures.
• Experience with security and systems that handle sensitive data.

Responsibilities

• Manage resource infrastructure for big data and machine learning workloads.
• Develop reliable, scalable services that work with massive amounts of data.
• Build tools for Databricks engineers to operate services across different clouds.
• Create services and infrastructure at the intersection of machine learning and distributed systems.

Skills

Java

Scala

C++

Cloud technologies

SQL

Education

BS in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Databricks, located in Mountain View, California, is seeking an experienced engineer to develop scalable services and manage resource infrastructure for big data and machine learning workloads. The ideal candidate will have over 5 years of experience in Java, Scala, or C++, and a strong background in cloud technologies.

Join us in building a data and AI infrastructure platform that empowers organizations to leverage deep data insights for their business challenges. We offer a dynamic work environment with competitive salaries and a comprehensive benefits package.