MLOps / DevOps Engineer (Kubernetes/GPU Specialist)

• Rate: £550 Outside IR35
• Arrangement: 2x a Month On-Site
• Duration: ASAP Start - 6 Month Contract

We are seeking a highly skilled and motivated DevOps Engineer to join our team, focusing on the integration and optimization of network-intensive application components and software pipelines within virtualized environments. The ideal candidate will have strong hands-on experience with containerization technologies, including Kubernetes and Docker, and will be responsible for managing complex workloads that require high data throughput, GPU/NIC virtualization, and efficient network optimization.

Key Responsibilities:

• Integrate network-intensive application components and software pipelines into virtualized environments such as Kubernetes and OpenStack.
• Implement and manage Kubernetes volumes, ensuring high availability, security, and scalability.
• Oversee Kubernetes GPU and NIC virtualization, optimizing resources for high-performance workloads.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Collaborate with development teams to support AI and ML workloads, ensuring proper resource allocation and performance tuning.
• Handle scenarios with high data load, optimizing network throughput to enhance performance and efficiency.
• Continuously monitor and improve system performance, reliability, and scalability.
• Work closely with cross-functional teams to articulate technical concepts clearly and concisely.

Key Requirements:

• Strong hands-on experience with containerization technologies, specifically Kubernetes and Docker.
• Familiarity with virtualized environments such as Kubernetes and OpenStack.
• Experience in implementing and managing Kubernetes volumes, GPU, and NIC virtualization.
• Basic understanding of AI and ML workloads, with the ability to support and optimize relevant applications.
• Demonstrated ability to manage high data load scenarios and optimize network throughput.
• Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
• Familiarity with network and system performance tuning in virtualized and containerized environments.

Preferred Qualifications:

• Experience with OpenStack or other cloud infrastructure platforms.
• Familiarity with infrastructure-as-code (IaC) tools such as Terraform or Ansible.
• Certification in Kubernetes (CKA, CKAD) or other relevant cloud technologies.