Senior Software Engineer - Backend

SupportFinity™; Seattle (WA); On-site; USD 157,700 - 213,800; Full time

Job summary

Databricks is hiring a backend-focused software engineer to build scalable infrastructure and products for the Databricks platform. You will work on serverless, OS/container, and ML infrastructure across multi-cloud environments, collaborating with teams to deliver high-performance services.

The role emphasizes large-scale distributed systems, SaaS platform experience, and security for handling sensitive data, with opportunities to influence Databricks’ multi-cloud architecture and tooling.

Qualifications

• BS (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.
• 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

Responsibilities

• As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
• Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.
• Below are some example projects and the responsibilities linked to the role.
• Build and improve serverless platform powering big data, ML and Gen AI workloads across multi-clouds.
• Develop core cloud platform OS, container and networking tech to secure and optimize the fleet.
• Foster partner ecosystem for Databricks SQL and seamless integrations.
• Create notebook dataplane experiences for multi-user collaboration with reliable performance.
• Develop tools and platforms to improve developer experience across Databricks services.

Skills

Java

Scala

Golang

C++

Distributed systems

Cloud technologies

Security

Education

BS in Computer Science

Tools

AWS

Azure

GCP

Kubernetes

Job description

P-939

Position Location is open to both our Seattle & Bellevue offices.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Impact You'll Have

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.

Below are some example projects and the

• Serverless platform: Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi‑cloud environment.
• Core cloud platform: Build cutting‑edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet.
• Partner ecosystem: Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem.
• Notebook dataplane: Build multi‑language multi‑user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks.
• Application platform: Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with "batteries included". Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer's developer experience.

What We Look For

• BS (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
• 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

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. 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. Local Pay Range: $157,700—$213,800 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

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.