Job highlights
Identified by Google from the original job post
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
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
Benefits
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices
The pay range(s) for this role is listed below and represents base 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
The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
$157,700—$213,800 USD
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
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
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
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
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 base 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 utilizes 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$157,700—$213,800 USD

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.

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, ****** 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.