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Experience Level
Senior
Qualifications
What We Seek:5+ years of professional software development experience.A Bachelor's degree or higher in Computer Science, a related field, or equivalent professional experience.Strong proficiency in one or more backend programming languages, such as Java, Scala, or Go.Hands-on experience developing and operating large-scale, critical distributed backend systems.Proven leadership throughout all project phases, from conception and design to implementation and operations.A self-motivated individual with a strong focus on delivering impactful results through teamwork.Excellent communication skills, both written and verbal, with the capability to produce clear technical documentation that fosters alignment and informed decision-making.Experience with infrastructure systems, security protocols, and sensitive data handling, along with familiarity with Kubernetes or cloud platforms such as AWS, Azure, or GCP.
About the job
As a Senior Backend Software Engineer at Databricks, you will collaborate with your team to architect and develop scalable infrastructure solutions for the Databricks platform.
Your Impact:
Our backend engineering teams engage in a variety of critical domains, including core compute fabric resource management, service platforms, and machine learning infrastructure. Your responsibilities may include:
Facilitating Databricks' expansion by creating foundational infrastructure platforms that support seamless functionality across diverse geographic regions and cloud service providers.
Developing cloud-agnostic infrastructure abstractions to empower Databricks engineers in efficiently managing and operating their services.
Creating tools and processes that enhance engineering productivity at Databricks, focusing on improving the developer experience across multiple areas, such as programming languages, linters, static analysis, integrated development environments (IDEs), remote development environments, automated release pipelines, and test automation frameworks. A current priority is optimizing the Rust development experience organization-wide.
About Databricks
Databricks is a leading data and AI company that empowers over 10,000 organizations globally—including industry giants like Comcast, Condé Nast, and Grammarly—to unify and democratize their data, analytics, and AI capabilities. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse, Apache Spark™, and Delta Lake, and is dedicated to shaping the future of data and AI across various sectors.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Senior
Qualifications
What We Seek:5+ years of professional software development experience.A Bachelor's degree or higher in Computer Science, a related field, or equivalent professional experience.Strong proficiency in one or more backend programming languages, such as Java, Scala, or Go.Hands-on experience developing and operating large-scale, critical distributed backend systems.Proven leadership throughout all project phases, from conception and design to implementation and operations.A self-motivated individual with a strong focus on delivering impactful results through teamwork.Excellent communication skills, both written and verbal, with the capability to produce clear technical documentation that fosters alignment and informed decision-making.Experience with infrastructure systems, security protocols, and sensitive data handling, along with familiarity with Kubernetes or cloud platforms such as AWS, Azure, or GCP.
About the job
As a Senior Backend Software Engineer at Databricks, you will collaborate with your team to architect and develop scalable infrastructure solutions for the Databricks platform.
Your Impact:
Our backend engineering teams engage in a variety of critical domains, including core compute fabric resource management, service platforms, and machine learning infrastructure. Your responsibilities may include:
Facilitating Databricks' expansion by creating foundational infrastructure platforms that support seamless functionality across diverse geographic regions and cloud service providers.
Developing cloud-agnostic infrastructure abstractions to empower Databricks engineers in efficiently managing and operating their services.
Creating tools and processes that enhance engineering productivity at Databricks, focusing on improving the developer experience across multiple areas, such as programming languages, linters, static analysis, integrated development environments (IDEs), remote development environments, automated release pipelines, and test automation frameworks. A current priority is optimizing the Rust development experience organization-wide.
About Databricks
Databricks is a leading data and AI company that empowers over 10,000 organizations globally—including industry giants like Comcast, Condé Nast, and Grammarly—to unify and democratize their data, analytics, and AI capabilities. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse, Apache Spark™, and Delta Lake, and is dedicated to shaping the future of data and AI across various sectors.