Senior Software Engineer - Backend

Databricks

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Mountain View, California First seen 3 weeks ago Last seen 1 hour, 15 minutes ago Greenhouse

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Job Description

AI Summary

• Build scalable backend infrastructure and services for Databricks' data and AI platform, including resource management systems, distributed services, and machine learning infrastructure across multiple cloud providers • Requires BS in Computer Science or related field with 5+ years of production experience in Java, Scala, C++, or similar languages, plus expertise in large-scale distributed systems and cloud technologies (AWS, Azure, GCP) • Must have experience developing SaaS platforms or Service-Oriented Architectures, working with sensitive data/security systems, and solid SQL knowledge • Comprehensive benefits package including medical/dental/vision coverage, 401(k), equity awards, flexible PTO, paid parental leave, and annual professional development fund • Competitive pay range with actual compensation based on skills, experience, certifications, and work location (specific salary not disclosed in listing)

P-78

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.

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.

The impact you'll have:

Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:

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

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, 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.

Skills

go sql kubernetes aws docker java

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Job Information

Company:
Databricks
Location:
Mountain View, California
Job Type:
Full-Time
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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