Senior Software Engineer - Backend

About the role

The impact you'll have:

• Work with your team to build infrastructure and products for the Databricks platform at scale.
• Span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.
• Example projects include:
• Serverless platform: Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads.
• Core cloud platform: Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure.
• Partner ecosystem: Build and grow a partner ecosystem for Databricks SQL.
• Notebook dataplane: Build multi-language multi-user collaborative REPL experience for Databricks users.
• Application platform: Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with "batteries included".

Responsibilities

• Develop large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes.
• Experience with security and systems that handle sensitive data.

Requirements

• Bachelor’s degree (or higher) in Computer Science, or a related field.
• 5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language.

Qualifications

• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes.
• Experience with security and systems that handle sensitive data.

Skills

• Java
• Scala
• Golang
• C++

Benefits

Details on the benefits offered in your region can be found here.

Pay

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.