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# Senior Software Engineer - Backend

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $166,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Data Structures, Distributed Systems, Design of User Interfaces, Human-Computer Interaction, Systems Development Life Cycle, Scala (Programming Language), Service-Oriented Architecture, Software Engineering, Virtual Machines, Google Cloud, Software Security, Backend, Kubernetes, Information Technology, Docker, Databricks, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-backend-mountain-view-ca--9f3476fb-61c7-43b0-88a7-94bcf25723df

## About the Role

Software Engineering, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Virtual Machine (VM), Process Improvement, Distributed Computing, Systems Scalability, Scalable System Development, System Operations, Project Design, * 5+ years of software engineering experience

 * Experience designing, building, and operating large-scale distributed systems in production environments
 * Experience with one or more programming languages including Java, Scala, C++, or Go
 * Strong understanding of data structures, algorithms, and system design principles
 * Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes
 * Experience working on SaaS platforms or with service-oriented architectures
 * Experience with software security and systems that handle sensitive data
 * Strong communication skills and ability to work effectively across teams
 * B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience

Pay Range Transparency

## Description

* Design, build, and operate scalable distributed systems that power the Databricks platform
 * Take ownership of complex technical projects from design through delivery and production operation
 * Drive technical decisions within your team and contribute to architectural direction
 * Identify and resolve performance bottlenecks and reliability issues proactively
 * Mentor engineers and elevate team engineering practices
 * Collaborate across teams to deliver high-impact features and improvements