Databricks · Mountain View, California

Senior Software Engineer - Backend

🏢 Databricks📍 Mountain View, California🕐 Posted 92 days ago
⏱ Full-timeEngineering - Pipeline✅ Direct from employer ATS
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About this role

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

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

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