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.
The Role: Senior Software Engineer – Edge Computing
We are seeking a Senior Software 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, Bash
Servers: Ubuntu/Linux, bootc, Nvidia GPUs
Networking: Mikrotik, FS
Cloud: Tailscale, Netbox, Docker, Kubernetes, Prometheus, Grafana, AWS Cloud
Our Work Environment and What You Will Benefit From
Become part of the world of elite sports, build systems that support data analytics and augmentation for the best leagues
Enjoy an innovative and dynamic environment that encourages self-development
Develop automation solutions that directly improve the daily work of dozens of operational staff and developers
The base salary range for this role is CHF 140,000 - CHF 155,000. There are a number of factors which affect what the specific pay for this role is, including seniority and relevant educational and working experience.
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
