Senior Software Engineer - Infrastructure and Tools

Databricks

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San Francisco, California First seen 3 weeks, 1 day ago Last seen 11 hours, 7 minutes ago Greenhouse

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Job Description

AI Summary

• Senior Software Engineer who designs and builds scalable infrastructure systems powering Databricks' data and AI platform, including multi-cloud systems, Kubernetes clusters, API gateways, and CI/CD frameworks • Requires BS in Computer Science or related field with 5+ years of production code experience in Java, Scala, Go, C++, or Python, plus expertise in distributed systems and cloud technologies (AWS, Azure, GCP, Docker, Kubernetes) • Architect multi-cloud abstractions and abstractions to enable Databricks products to run across major cloud providers while improving engineering workflows and operational efficiency • Notable perks include comprehensive health coverage, equity awards, flexible time off, paid parental leave, annual professional development fund, and gym reimbursement • Remote-friendly role with preference for listed locations but will consider candidates from other areas

P-78

While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

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 Senior Software Engineer on the Infrastructure teams, you will build scalable systems to power the Databricks platform, making it the de-facto platform for running Big Data and AI workloads. You will build and extend the Databricks infrastructure platform, which includes multi-cloud systems and services for managing thousands of Kubernetes clusters at scale, storing petabytes of data, highly scalable and distributed API gateways, rate limiting framework, network security and encryption, developer tools and infrastructure (we use Bazel), testing frameworks, and scalable CI/CD framework among many others.

The impact you will have:

Build and extend components of the core Databricks infrastructure
Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers
Improve software development workflows for engineering and operational efficiency.
Use our own data and AI platform (yes!) to analyze build and test logs and metrics to identify areas for improvement.
Develop automated build, test, and release infrastructures.
Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.

What we look for:

BS (or higher) in Computer Science, or a related field
5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python
Passion for building highly scalable and reliable infrastructure
Experience architecting, developing and deploying large-scale distributed systems at scale
Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform.

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 kubernetes aws docker java terraform python

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Job Information

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

Activity Score

66 /100

Likely Active (66)

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