DevOps Engineer
On site
Bristol, United Kingdom
Freelance
18-10-2024
Job Specifications
MLOps / DevOps Engineer (Kubernetes/GPU Specialist)
Rate: PS550 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.
About the Company
We are a global recruitment solutions company with four decades of experience. The idea of partnership is at the heart of everything we do at Sanderson. Working with clients and candidates alike, we deliver permanent or contract hires, executive search assignments, fully outsourced recruitment solutions, including RPO and MSP and deploy high-performing project teams. We strive to deliver with personality and a passion for service excellence. Our services are built on collaboration, understanding and flexibility. Our breadt... Know more
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