Senior Software Engineer - Backend

Databricks; Mountain View (CA); On-site; USD 166,000 - 225,000; Full time

Benefits offered by this job

Comprehensive health coverage

401(k) Plan

Equity awards

Flexible time off

Paid parental leave

Gym reimbursement

Employee Assistance Program (EAP)

Job summary

Databricks, located in Mountain View, California, is seeking an experienced engineer to develop scalable services and manage resource infrastructure for big data and machine learning workloads. The ideal candidate will have over 5 years of experience in Java, Scala, or C++, and a strong background in cloud technologies.

Join us in building a data and AI infrastructure platform that empowers organizations to leverage deep data insights for their business challenges. We offer a dynamic work environment with competitive salaries and a comprehensive benefits package.

Qualifications

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large‑scale distributed systems.
• Experience working on a SaaS platform or with Service‑Oriented Architectures.
• Experience with security and systems that handle sensitive data.

Responsibilities

• Manage resource infrastructure for big data and machine learning workloads.
• Develop reliable, scalable services that work with massive amounts of data.
• Build tools for Databricks engineers to operate services across different clouds.
• Create services and infrastructure at the intersection of machine learning and distributed systems.

Skills

Java

Scala

C++

Cloud technologies

SQL

Education

BS in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Overview

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.

Impact You'll Have

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud‑agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems

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, 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, Docker, or Kubernetes
• Experience with security and systems that handle sensitive data
• Good knowledge of SQL

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance

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 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. For more information regarding which range your location is in visit our page here.

Local Pay Range

$166,000 – $225,000 USD

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.

Equal Employment Opportunity

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.