databricks · Vancouver, Canada
Skills: Java, AWS, Docker
P-1440 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 tackle 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. The Impact You Will Have Design, build, and operate scalable distributed systems that power the Databricks platform Take ownership of complex technical projects from design through delivery and production operation Drive technical decisions within your team and contribute to architectural direction Identify and resolve performance bottlenecks and reliability issues proactively Mentor engineers and elevate team engineering practices Collaborate across teams to deliver high-impact features and improvements What We Look For 5+ years of software engineering experience Experience designing, building, and operating large-scale distributed systems in production environments Experience with one or more programming languages including Java, Scala, C++, or Go Strong understanding of data structures, algorithms, and system design principles Experience with cloud technologies including AWS, Azure, GCP, Docker, or Kubernetes Experience working on SaaS platforms or with service-oriented architectures Experience with software security and systems that handle sensitive data Strong communication skills and ability to work effectively across teams B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay ran…
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