Job Details

Sr. DevOps Engineer, Big Data Platform

San Jose, California, United States
With over tens of million players sold across countries, over 3000 streaming channels and more than 5 billion hours watched over the platform, building scalable, highly available, fault-tolerant, Big Data Platform is critical for our success. Our team's mission is to build a world-class Big Data Platform to bring value out of data for us, for our partners, and for our customers. Our goal is to democratize data, support Roku's exploding ad business, provide reporting and analytics self-service tools, and fuel existing and new business critical initiatives. We are hiring a Sr. DevOps Engineer, Big Data Platform to be a key part of this mission. What you will do: Design and implement self-healing, auto-scaling, and self-documenting infrastructure supporting Big Data Platform. Collaborate with cross-functional teams of developers, QA and operations to accomplish objectives. Low level systems debugging, performance measurement & optimization on large production clusters. Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects. Maintain and support existing platforms and evolve to newer technology stacks and architectures. What you've done and what you bring: You are self-driven, willing and able to take complete ownership of initiatives and make pragmatic technical decisions. You are constantly looking for ways to improve and/or automate your efforts. You are a driver of initiatives to streamline development & deployment, standardize on tools, and improve documentation quality. Proficiency in Bash and Python. Familiarity with SQL - good understanding about the basics of SQL (joins, creating tables) - this IS a Big Data team after all! Experience with and passion for experimentation and continuous integration. A minimum of 3 years' experience as a DevOps Engineer. Hands-on experience with at least two core AWS features (e.g., CloudFormation ELB, EC2, S3, RDS, Elastic Beanstalk, EMR, OpsWorks, ECS). Experience administering data visualization tools like Tableau, Looker is a plus. Experience with Docker and Kubernetes is a plus. BS in Computer Science or closely related domain. #LI-JG1

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