Senior Cloud Engineer - Platform, Automation & AI Infrastructure 80 - 100%

Your job position To strengthen our Cloud Engineering team, we are looking for a new team member as Senior Cloud Engineer - Kubernetes, Automation & AI Infrastructure 80-100%. In this role, you are part of our Cloud Engineering team and are responsible for the construction, operation, and further development of modern platforms in the area of Kubernetes, Linux, automation, and AI/KI infrastructure. You work on internal standards as well as customer solutions and actively contribute your experience to projects, architecture, and operations. The focus is on Platform Engineering in the MSP environment: standardized, scalable, and long-term operable solutions instead of individual special solutions or manual single cases. You help to build platforms and services so that they can be operated, standardized, and further developed across multiple customers. This field of activity excites you ? Construction, operation, and further development of modern platform environments in the MSP environment Development and standardization of platforms for containers, Linux workloads, and AI/KI applications Planning, construction, and operation of Kubernetes platforms in hybrid environments, on-premises, and in Azure Construction and operation of standardized platform services for multiple customers and environments Collaboration on platforms based on Nutanix, VMware, Linux, and Azure Development of technical standards, blueprints, and operating models for our customers and internal platforms Conception and implementation of AI/KI infrastructures and GPU-based workloads Automation of infrastructure and operating processes with Infrastructure as Code, GitOps, and scripting Development and maintenance of deployments, patch processes, monitoring, logging, and observability Analysis and resolution of complex malfunctions and performance issues in the platform environment Ensuring that new platforms and services are cleanly transitioned into operations Collaboration on multi-tenant, security, and standardization concepts in MSP operations Technical support of projects from conception to handover to operations Support and coaching of other engineers within the team Close cooperation with project teams, operations, architecture, and customers You will work with, among other things, the following topics: Nutanix, VMware, and hybrid infrastructure Linux and automation Azure Infrastructure Services Kubernetes and container platforms GitOps, Terraform, Ansible, and PowerShell Monitoring, logging, and platform observability Storage topics in the Kubernetes and platform environment AI/KI workloads and GPU infrastructures Standardization, multi-tenancy, and operation in the MSP environment Your profile To succeed, you need: Several years of experience as a Platform Engineer, System Engineer, or in a comparable role Experience in the construction and operation of platforms in the MSP or enterprise environment as well as Kubernetes platforms Very good Linux knowledge and experience with container and platform technologies Experience with several of the following topics: Nutanix VMware Azure Linux Docker and containers GitOps, Terraform, or Ansible Monitoring and logging Automation and scripting Windows Server Experience in the planning, standardization, and operation of technical platforms across multiple customers or environments Interest or experience in the field of AI/KI infrastructure, GPU workloads, or modern platform architectures You work independently, in a structured manner, and with a view to the big picture You question existing solutions and enjoy building things cleanly, standardized, and maintainable in the long term You actively contribute knowledge to the team and support other engineers with complex topics Very good communication skills in German and English Advantageous Experience with Nutanix Kubernetes Platform (NKP), or comparable platforms Experience with multi-tenant architectures and standardized platform services Experience with GPU infrastructures, NVIDIA, AI/ML workloads, or hybrid platforms Experience in operating multiple customer or tenant environments Your other benefits Plenty of creative freedom and the opportunity to actively help shape our platforms and services Exciting and modern topics surrounding Kubernetes, Linux, automation, and AI Direct cooperation with experienced engineers, architects, and customers The opportunity to actively build standards, blueprints, and new services Flexible working hours and hybrid working models Short decision-making paths and an environment in which ideas are heard and implemented We are not looking for a person who simply operates systems. We are looking for someone who understands platforms, recognizes connections, and turns individual technologies into clean, standardized, and operable services in the MSP environment. What distinguishes us Flexible working hours with a 40-hour week and part-time possibility Up to 5 days per week location-independent work as well as home office or remote work from Switzerland possible Flexibility and willingness to be on-site 1 day per week by arrangement 25 days of vacation per year (from age 40, 27 days / from age 50, 30 days) 13 paid public holidays and the possibility of additional unpaid leave 100% continued payment of wages during 3 weeks paternity / 16 weeks maternity leave State-of-the-art hardware and paid mobile subscription incl. share of smartphone Above-average benefits in the pension fund as well as employer share 60% and employee share 40% Private supplementary accident insurance Free charging of your electric vehicle at the Gerlafingen location Discounted access to fitness and physiocenter offers Brands for employees & benefits at work Wellbeing@Work with Kart Racing, Silent Room, Töggelikasten, Apéros, and Tea