201 to 220 of 220 Kubernetes Jobs in the North of England

Senior Linux System Administrator/Infrastructure Engineer (DevOps) - Linux administration, Kubernetes, Ubuntu, Debian, Ansible, Docker, Puppet,Networking, Storage, Virtualisation Description for the Senior Linux System Administrator role:- This is a fantastic opportunity with a technology division of a global company. The role will involve working in a Infrastructure/DevOps team in a fast-paced technology environment and requires a … good understanding of Kubernetes and Linux administration. Ideally you should possess knowledge of virtualisation technologies, Ansible and networking principles. This will be joining their growing practise and will offer great opportunities for career growth. The role can be fully remote or hybrid if you live in the Newcastle area and prefer it - You choose! Experience required for the Senior Linux … System Administrator role:- 5yrs+ commercial experience in a commercial Administrator/Network infrastructure role Linux administration skills Solid Kubernetes knowledge Strong networking/Security understanding/experience - ideally data centre infrastructure Ansible, Docker, Puppet Salary for the Senior Linux System Administrator role will be negotiable dependent on experience but expect £60,000 to £70,000 basic + benefits package depending More ❯

My client an insurance SaaS provider start-up at an exciting time of growth is looking for a Platform Engineer who is accustomed to working in small-teams. To manage cloud infrastructure, CI/CD pipelines, and overall platform reliability. More ❯

We are looking for an experienced Platform Engineer with a strong background in cloud-native technologies and containerized environments. The ideal candidate will have hands-on experience with OpenShift, Kubernetes, and service mesh technologies. Key Responsibilities: Design, build, and maintain scalable and secure container platforms using OpenShift and Kubernetes Implement and manage service mesh architectures (e.g., Istio, Linkerd, or similar More ❯

We are looking for an experienced Platform Engineer with a strong background in cloud-native technologies and containerized environments. The ideal candidate will have hands-on experience with OpenShift, Kubernetes, and service mesh technologies. Key Responsibilities: Design, build, and maintain scalable and secure container platforms using OpenShift and Kubernetes Implement and manage service mesh architectures (e.g., Istio, Linkerd, or similar More ❯

Kubernetes isn’t just a tool for you, it’s your domain. You build, scale, and secure clusters with precision, keeping complex systems running like clockwork. You’re well versed in Helm, GitOps, and different deployment strategies, choosing the right approach for each situation. All part of your toolkit, ready to be deployed when needed. In this role, you’ll … take ownership of optimising Kubernetes infrastructure at scale, boosting performance, security, and reliability. You’ll refine CI/CD pipelines, automate deployments, and troubleshoot issues to maintain peak uptime. Infrastructure as Code is second nature to you, and your Linux scripting skills will be put to work, especially with complex large scale cloud migrations. What’s in it for you … The chance to work on cutting edge Kubernetes projects, hands on with the latest tools, and the freedom to introduce new technologies. You’ll have access to fully funded training, conferences, and certifications. Maybe even becoming a certified Kubestronaut. Both a Leadership and hands-on nature will be required coming in at this level More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

of machine learning and cloud infrastructure, ensuring our models run efficiently, reliably, and cost-effectively at scale. Key Responsibilities Design, deploy, and manage ML infrastructure on AWS (SageMaker) and Kubernetes Build scalable pipelines for LLM and video generation models Optimise model inference, latency, and costs Implement monitoring, logging, and alerting for production systems Collaborate with ML teams to productionize new … and tooling for smoother ML operations Skills & Experience Strong Python skills and production coding experience Proven experience deploying/scaling LLMs or generative AI models Expertise in AWS SageMaker, Kubernetes, and CI/CD (Terraform/CloudFormation) Solid understanding of ML serving, optimisation, and cloud architecture Nice to Have: Video generation or computer vision experience, model compression, distributed training, and More ❯

individual with proven experience in architecting complex software systems and a strong track record in stakeholder engagement, particularly within in fast-paced environments. Your expertise in Microsoft technologies, GoLang, Kubernetes, and cloud platforms will be invaluable as you lead development teams to ensure high-quality implementations. This is an exciting opportunity to drive technical best practice, explore emerging technologies, and … technologies, such as VB.Net, WPF, C# and MSSQL Server, and successful migration to modern, cloud-based solutions. Detailed understanding of the architectural application of modern technology stacks including GoLang, Kubernetes, and cloud platforms, such as GCP. Strong background in modern programming paradigms, micro services, and cloud-native architectures. Exceptional communication and interpersonal skills, with a talent for engaging and influencing More ❯

Be apart of one of the UK's largest building merchants. We're expanding fast, with over 130 branches across the UK and counting. As we grow, so does our need to connect systems, streamline data, and keep everything running More ❯

Be apart of one of the UK's largest building merchants. We're expanding fast, with over 130 branches across the UK and counting. As we grow, so does our need to connect systems, streamline data, and keep everything running More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯

Full-time | Salary + Equity | Purpose-led startup Joyned is on a mission to help organisations build strong, safe communities through better communication. We’re looking for a hands-on software engineer to take ownership of our codebase and help More ❯