DevOps

Love solving gnarly problems in AI infrastructure?Our client is building the AI Native GPU Cloud—and we need a senior HPC Site Reliability Engineer to keep it humming. You’ll own the reliability and performance of our cutting-edge Nvidia-based HPC systems. Think DGX clusters, RoCE topologies, and automation pipelines built in Ansible and Terraform. If that lights you up, read on. This role is remote (US-based) and offers the chance to shape our infrastructure from the ground up. Expect high-impact work, loads of autonomy, and collaboration with smart folks across architecture, engineering, and ops. You’ll:Set up and optimize HPC clusters and networks (think DGX, HGX, GPU Direct)Debug low-level networking issues with Cisco, Juniper, and moreAutomate configs with Ansible TerraformMonitor everything with Grafana, UFM, ELK, NetQOwn 24/7 reliability, on-call, and root cause analysisThis role is perfect if you:Have 6 years in HPC or networking-heavy rolesKnow BGP, EVPN, VxLAN, RDMA inside and outHave SRE experience in high-stakes environmentsLove solving infra puzzles at scaleBonus points for CCIE/JNCIS, InfiniBand, or cloud/HPC interconnect experience. Sound like your kind of challenge? Hit apply and let’s talk.

We are currently seeking an experienced Senior Azure Cloud Engineer to join a Banking client of ours in Zurich. This exciting opportunity will involve helping one of Switzerlands largest banks to implement Generative AI across the business by building an Azure-based gateway in the cloud to enable GenAI to be used both onprem and in the cloud. The role requires German language skills, and candidates to be based a commutable distance from Zurich. Key Responsibilities:Building and expanding the data science platform on Microsoft AzurePlanning, developing, maintaining and integrating cloud solutions / cloud native servicesImplementing new platform requirements and performing release upgradesAssuming responsibility for specific areas of responsibility, e.g. designing and implementing authentication flows between cloud and on-premises, connecting databases or extending cloud services for data science and BI workloadsEnsuring the operation (DevOps) of the data science platform with user management and monitoringIT consulting for the specialist departments around the data science platform and data connections, business intelligence, Git integration & schedulingClose collaboration with the decentralized data science teams for the coordination and implementation of requirements for solutions, definition of best practices, ensuring data protection, and performance optimization.Desirable Requirements:  Strong background in Cloud Engineering and InfrastructureExperience with Azure and related functions are essential (AzureSQL, Devops, Azure AI etc.)Terraform, Kubernetes and Docker experience would be a plusExperience working with AI services is important for this roleExperience working in financial services would be a plus The role offers the flexibility of a hybrid work arrangement (4 days onsite in Zurich) and is a permanent role.