Senior Software Engineer - Edge Computing

ph3Senior Software Engineer – Edge Computing /h3 pWe 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. /p pSpecifically, you can expect to: /p ul liDesign 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. /li liDesign and code end-to-end processes enabling developers to autonomously deploy and monitor our player tracking and augmentation applications. /li liTake ownership of long‑term technical efforts and articulate design choices to technical and non‑technical people. /li liCollaborate closely with teammates to solve problems, share knowledge and provide actionable feedback. /li liParticipate in an on‑call rotation that emphasizes eliminating repeating escalations. /li liVisit our wonderful Lausanne Jordis office 4 times per week, with flexible hours. /li /ul h3Minimum Qualifications /h3 ul liSwiss/EU/EFTA citizen or residency permit in Switzerland. /li li5+ years experience in SRE with Linux. /li liStrong understanding of the entire Linux server stack: OS boot and installation, systemd, networking, container deployment, logging, metrics monitoring, out‑of‑band management, etc. /li liStrong experience designing robust automation processes for a large inventory of on‑premise servers. /li liProficient with Python programming and Bash scripting. /li liAbility to communicate efficiently and articulate concepts based on the audience. /li /ul h3Preferred Qualifications /h3 ul liExperience with remote fleet management without easy physical access. /li liExperience designing large‑scale automation processes for network routers and switches. /li liStrong 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. /li liStrong experience deploying container applications on premises with Kubernetes. /li liExperience with AWS EC2, S3, VPC, IAM. /li liExperience with Nvidia GPU driver installation and monitoring. /li /ul h3Our Stack /h3 ul liLanguages and frameworks: Python, Rust, Bash. /li liServers: Ubuntu/Linux, bootc, Nvidia GPUs. /li liNetworking: Mikrotik, FS. /li liCloud: Tailscale, Netbox, Docker, Kubernetes, Prometheus, Grafana, AWS Cloud. /li /ul h3Our Work Environment and What You Will Benefit From /h3 ul liBecome part of the world of elite sports, build systems that support data analytics and augmentation for the best leagues. /li liEnjoy an innovative and dynamic environment that encourages self‑development. /li liDevelop automation solutions that directly improve the daily work of dozens of operational staff and developers. /li /ul pThe base salary range for this role is CHF 140,000 - CHF 155,000. There are several factors which affect what the specific pay for this role is, including seniority and relevant educational and working experience. /p pWe 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. /p pAs 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. /p pLet us know when you apply if you need any assistance during the recruiting process due to a disability. /p /p #J-18808-Ljbffr