Description
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.
As a Senior Software Engineer - Backend, 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. You might work on challenges such as:
- Resource management infrastructure powering big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
- Developing reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
- Building tools to allow Databricks engineers to operate their services across different clouds and environments
- Building 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 languages
- 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: The pay range for this role is $166,000-$225,000 USD.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/databricks/jobs/4799387002