1 to 25 of 210 Remote Containerisation Jobs in the North West

Strong knowledge of Azure services and cloud architecture. Experience with CI/CD tools, especially Azure DevOps. Proficiency in scripting languages such as PowerShell, Bash, or Python. Familiarity with containerization technologies like Docker and Kubernetes. Understanding of networking, security, and monitoring in cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm More ❯

experience with Large Language Models (LLMs) such as OpenAI , Anthropic , Mistral , or Llama , and tools like Ollama . Cloud Platforms : Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration : Hands-on experience with Docker , Kubernetes , and Docker Compose . Infrastructure as Code (IaC) : Exposure to tools like Terraform . Monitoring Tools : Familiarity with LLM monitoring tools like More ❯

PowerShell, or similar scripting languages. Infrastructure as Code - Advanced experience with Terraform, Ansible, or similar tools. Version Control - Expertise in Git and workflows like GitFlow and trunk-based development. Containerisation & Orchestration - Extensive hands-on experience architecting, deploying, and managing containerized applications using Docker, Kubernetes, and Helm in production-grade environments. Deployment Techniques - Hands-on experience with GitOps tools (e.g., ArgoCD More ❯

PowerShell, or similar scripting languages. Infrastructure as Code - Advanced experience with Terraform, Ansible, or similar tools. Version Control - Expertise in Git and workflows like GitFlow and trunk-based development. Containerisation & Orchestration - Extensive hands-on experience architecting, deploying, and managing containerized applications using Docker, Kubernetes, and Helm in production-grade environments. Deployment Techniques - Hands-on experience with GitOps tools (e.g., ArgoCD More ❯

Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills More ❯

Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills More ❯

Engineering, or equivalent experience. Proven experience in platform engineering, DevOps, or infrastructure-focused roles. Strong proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with containerisation technologies such as Docker and Kubernetes. Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). Experience More ❯

AWS, Azure, GCP) Programming/scripting in Python, Bash, or similar Strong knowledge of CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps) Understanding of REST APIs, SQL, and containerisation Bonus Points For: Certifications such as LPIC-1/LPIC-2, RHCE/RHCSA, or equivalent Experience scaling cloud engineering practices across multiple products or platforms Exposure to security, compliance More ❯

AWS, Azure, GCP) Programming/scripting in Python, Bash, or similar Strong knowledge of CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps) Understanding of REST APIs, SQL, and containerisation Bonus Points For: Certifications such as LPIC-1/LPIC-2, RHCE/RHCSA, or equivalent Experience scaling cloud engineering practices across multiple products or platforms Exposure to security, compliance More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

of-concept new ideas, and promote the latest DevOps solutions and technologies. We're looking for someone who has a real passion for DevOps, with experience and understanding of containerisation, cloud platforms, Continuous Delivery pipelines, and system administration. This is an opportunity for an engineer to develop skills through working within a successful, multi-national organisation, to support both internal More ❯

in one or more programming languages (e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose Infrastructure as Code (IaC): Exposure to tools like Terraform Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose Infrastructure as Code (IaC): Exposure to tools like Terraform Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯