# Staff Software Engineer - Backend

**Company**: Databricks
**Location**: Mountain View, California
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Salary**: $192,000-$260,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/6544443002
**Canonical**: https://yubhub.co/jobs/job_3922bc3d-027

## Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions.

As a software engineer with a backend focus, you will work closely with your team and product management to prioritise, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Some example teams you can join include:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. Observability: Provide a world-class platform for Databricks engineers to comprehensively observe and introspect their applications and services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers.

The ideal candidate will have:

- BS/MS/PhD in Computer Science, or a related field

- 10+ years of production-level experience in one of: Java, Scala, C++, or similar language

- Comfortable working towards a multi-year vision with incremental deliverables

- Experience in architecting, developing, deploying, and operating large-scale distributed systems

- Experience working on a SaaS platform or with Service-Oriented Architectures

- Good knowledge of SQL

- Experience with software security and systems that handle sensitive data

- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

## Skills

### Required
- Java
- Scala
- C++
- Apache Spark
- Apache Kafka
- Cloud APIs
- AWS
- Azure
- CloudFormation
- Terraform
- SQL
- Software security
- Cloud technologies