Állás részletei
-
Cég neve
Albedis
-
Munkavégzés helye
Svájc -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
-
Elvárt technológiák
- ANSIBLE LINUX VIRTUALIZATION MACHINE LEARNING INCIDENT MANAGEMENT
-
Biztosított eszközök
- Linux
-
Elvárások
- Angol felsőfok
- 5-10 év tapasztalat
- Egyetem
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Hasonló állásokról értesítőt állítottunk be!
Válogatást küldünk a hasonló lehetőségekről e-mailben, és app felhasználóinknak push értesítésben is.
Állás leírása
Responsibilities
Senior AI Infrastructure & Platform Engineer (Basel)
Description of the company
Our client is a well-established financial institution known for its long-standing stability, international footprint, and commitment to operational excellence. The organisation fosters a collaborative culture, values expertise, and promotes continuous improvement across its global technology and data functions.
Role & Responsibilities
As Senior AI Infrastructure & Platform Engineer, you will play a key role in designing, operating and continuously improving enterprise-grade AI infrastructure platforms supporting advanced machine learning and generative AI initiatives. You will work closely with infrastructure, platform engineering and data science teams to build highly available GPU-enabled environments and scalable container platforms capable of supporting large-scale model training and inference workloads.
Key Responsibilities:
Design, implement and operate GPU-enabled infrastructure platforms for AI and machine learning workloads
Administer and optimize Kubernetes and OpenShift platforms supporting enterprise AI services
Manage high-performance computing (HPC) environments, including bare-metal and virtualized GPU systems
Develop and maintain infrastructure automation using Ansible, Terraform and GitOps methodologies
Troubleshoot complex platform issues involving Linux, networking, storage, Kubernetes and GPU architectures
Support AI and data science teams with platform provisioning, resource allocation and operational excellence
Implement platform monitoring and observability solutions
Participate in incident management and on-call rotations
Candidate Profile
You hold a university-level degree in Computer Science or a related discipline and bring several years of current, hands-on experience operating large-scale Linux and containerized infrastructure environments.
Additionally:
Minimum 5 years of enterprise infrastructure engineering experience
Minimum 3 years of hands-on experience administering Red Hat Enterprise Linux environments
Proven experience operating Kubernetes and/or OpenShift platforms in production environments
Strong hands-on experience with Terraform, ArgoCD and Ansible
Practical experience supporting NVIDIA GPU infrastructures and GPU-enabled computing environments
Knowledge of GPU architectures and technologies such as NVLink, PCIe switching and GPU virtualization
Experience with Prometheus, Grafana and infrastructure monitoring solutions
Strong Shell and scripting capabilities
Experience working in highly regulated enterprise environments is advantageous
Fluent in English; German advantageous
Valid CH work permit or EU/EFTA citizenship required
Willingness to work 100% on-site
Benefits:
Central city office locations across Switzerland
Above average insurance coverage fully borne our client
Contribution to health insurance and meal allowance
Excellent opportunities for further training and personal development
International environment jid1edbe14pn jit0832pn jiy26pn
Description of the company
Our client is a well-established financial institution known for its long-standing stability, international footprint, and commitment to operational excellence. The organisation fosters a collaborative culture, values expertise, and promotes continuous improvement across its global technology and data functions.
Role & Responsibilities
As Senior AI Infrastructure & Platform Engineer, you will play a key role in designing, operating and continuously improving enterprise-grade AI infrastructure platforms supporting advanced machine learning and generative AI initiatives. You will work closely with infrastructure, platform engineering and data science teams to build highly available GPU-enabled environments and scalable container platforms capable of supporting large-scale model training and inference workloads.
Key Responsibilities:
Design, implement and operate GPU-enabled infrastructure platforms for AI and machine learning workloads
Administer and optimize Kubernetes and OpenShift platforms supporting enterprise AI services
Manage high-performance computing (HPC) environments, including bare-metal and virtualized GPU systems
Develop and maintain infrastructure automation using Ansible, Terraform and GitOps methodologies
Troubleshoot complex platform issues involving Linux, networking, storage, Kubernetes and GPU architectures
Support AI and data science teams with platform provisioning, resource allocation and operational excellence
Implement platform monitoring and observability solutions
Participate in incident management and on-call rotations
Candidate Profile
You hold a university-level degree in Computer Science or a related discipline and bring several years of current, hands-on experience operating large-scale Linux and containerized infrastructure environments.
Additionally:
Minimum 5 years of enterprise infrastructure engineering experience
Minimum 3 years of hands-on experience administering Red Hat Enterprise Linux environments
Proven experience operating Kubernetes and/or OpenShift platforms in production environments
Strong hands-on experience with Terraform, ArgoCD and Ansible
Practical experience supporting NVIDIA GPU infrastructures and GPU-enabled computing environments
Knowledge of GPU architectures and technologies such as NVLink, PCIe switching and GPU virtualization
Experience with Prometheus, Grafana and infrastructure monitoring solutions
Strong Shell and scripting capabilities
Experience working in highly regulated enterprise environments is advantageous
Fluent in English; German advantageous
Valid CH work permit or EU/EFTA citizenship required
Willingness to work 100% on-site
Benefits:
Central city office locations across Switzerland
Above average insurance coverage fully borne our client
Contribution to health insurance and meal allowance
Excellent opportunities for further training and personal development
International environment jid1edbe14pn jit0832pn jiy26pn
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
Állás, munka területe(i)
Álláshirdetés jelentése