Databricks

1 month ago

Staff Software Engineer, Compute Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead design and build of Compute Infrastructure powering Databricks' data and AI workloads across clouds. As a Staff Software Engineer and Tech Lead, you will craft compute abstractions, workload orchestration, and fleet management to enable launching and scaling millions of VMs, collaborating across product and infrastructure teams to raise the bar on reliability and performance.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.
•Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
•Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
•Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
•Lead cross-team initiatives that span product and infrastructure surface areas

Pay and Benefits

Salary: USD 180,500 - 225,600 annually

Key Requirements

•BS (or higher) in Computer Science or related field
•10+ years of experience designing and building large-scale distributed systems
•Strong proficiency in one or more languages such as Java, Scala, Go, or C++
•Experience with service-oriented architectures and large scale distributed systems
•Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
•Track record of shipping infrastructure that supports mission-critical workloads at scale

Experience:10+ yearsDistributed systemsCloud computingInfrastructureScalingVM orchestration

Education:Bachelor's

Skills:JavaScalaGoC++AWSAzureGCPKubernetesDockerVMsDistributed systems

Languages:English

Tech Stack:JavaScalaGoC++AWSAzureGCPKubernetesDocker

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Staff Software Engineer, Compute Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.
•Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
•Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
•Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
•Lead cross-team initiatives that span product and infrastructure surface areas

Pay and Benefits

Salary: USD 180,500 - 225,600 annually

Key Requirements

•BS (or higher) in Computer Science or related field
•10+ years of experience designing and building large-scale distributed systems
•Strong proficiency in one or more languages such as Java, Scala, Go, or C++
•Experience with service-oriented architectures and large scale distributed systems
•Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
•Track record of shipping infrastructure that supports mission-critical workloads at scale

Experience:10+ yearsDistributed systemsCloud computingInfrastructureScalingVM orchestration

Education:Bachelor's

Skills:JavaScalaGoC++AWSAzureGCPKubernetesDockerVMsDistributed systems

Languages:English

Tech Stack:JavaScalaGoC++AWSAzureGCPKubernetesDocker

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn