Senior Software Engineer - Infrastructure and Tools

Cacheflow; San Francisco (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

Annual personal development fund

Job summary

A leading data and AI company in San Francisco seeks a Senior Software Engineer to build scalable systems for their platform. This role requires proficiency in various programming languages and experience with cloud technologies. Candidates will work on improving infrastructure and software development processes, making a significant impact in the company’s operations.

Qualifications

• 5+ years of experience writing production code.
• Passion for building highly scalable and reliable infrastructure.
• Experience architecting, developing and deploying large-scale distributed systems.

Responsibilities

• Build and extend components of the core Databricks infrastructure.
• Improve software development workflows for engineering efficiency.

Skills

Java

Scala

Go

C++

Python

Distributed systems architecture

Cloud APIs

Docker

Kubernetes

Terraform

Education

BS in Computer Science or related field

Job description

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. 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.