Genius Sports

Senior Site Reliability Engineer - Edge Computing

Lausanne, Vaud, SwitzerlandFull timeSenior$155,000 / yearPosted 20 days ago
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   By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.     The Role: Senior Site Reliability Engineer – Edge Computing  We are seeking a Senior Site Reliability Engineer to be part of the Edge Computing team in the Data&AI group. As we deliver real-time player tracking, sport analytics and broadcast augmentation to more customers worldwide, we are looking to scale from hundreds of sport venues to thousands.  Specifically, you can expect to:  Design and code end-to-end processes enabling operational staff to autonomously prepare, install and monitor all Linux servers, networking devices and cameras installed in 300+ sport venues across the world  Design and code end-to-end processes enabling developers to autonomously deploy and monitor our player tracking and augmentation applications  Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people  Collaborate closely with teammates to solve problems, share knowledge and provide actionable feedback  Participate in an on-call rotation that emphasizes eliminating repeating escalations  Visit our wonderful Lausanne Jordils office 4 times per week, with flexible hours    Minimum Qualifications  Swiss/EU/EFTA citizen or residency permit in Switzerland  5+ years experience in SRE with Linux  Strong understanding of the entire Linux server stack: OS boot and installation, systemd, networking, container deployment, logging, metrics & monitoring, out-of-band management, etc...  Strong experience designing robust automation processes for a large inventory of on-premises servers  Proficient with Python programming and Bash scripting  Ability to communicate efficiently and articulate concepts based on the audience    Preferred Qualifications  Experience with remote fleet management without easy physical access  Experience designing large-scale automation processes for network routers and switches  Strong understanding of OSI network layers 2 and 3, ability to assess network conditions at customer sites: explain packet loss or fragmentation, cabling or NIC defects, bandwidth evaluation locally and to cloud via intercontinental transit  Strong experience deploying container applications on premises with Kubernetes  Experience with AWS EC2, S3, VPC, IAM  Experience with Nvidia GPU driver installation and monitoring    Our Stack:  Languages and frameworks: Python, Rust,...