1 to 25 of 644 Containerisation Jobs in the North of England

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 ❯

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 ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

Infrastructure build and configurations of a variety of services including Compute, Storage, Networking. Linux. Relational and NoSQL databases. Integration services such as messaging and streams. Building RESTful API Services. Containerisation, Kubernetes, serverless functions. Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (e.g., ELK, Splunk, Prometheus, Grafana). Automation scripting (using scripting languages such as Terraform, Ansible etc.). More ❯

on audience The full development lifecycle delivering user-centred digital solutions Full stack development experience using HTML, CSS & JavaScript JavaScript library and framework experience is preferable - Node, React, Angular Containerisation experience - Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled More ❯

user-centred digital solutions A full stack developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScript JavaScript library and framework experience is preferable - Node, React, Angular Containerisation experience - Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled More ❯

user-centred digital solutions A full stack developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScript JavaScript library and framework experience is preferable - Node, React, Angular Containerisation experience - Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled More ❯

user-centred digital solutions A full stack developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScript JavaScript library and framework experience is preferable – Node, React, Angular Containerisation experience – Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled More ❯

the ability to think critically and strategically. Excellent communication and interpersonal skills for effective team collaboration. Knowledge of cloud platforms and services. Preferred Technical And Professional Experience Experience with containerization technologies (Docker, Kubernetes). Knowledge of serverless architectures and microservices. Familiarity with event-driven design patterns. Understanding of database systems (SQL, NoSQL). Experience with cloud security best practices Seniority 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 ❯

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 ❯

Strong communication skills and the ability to collaborate effectively with cross-functional teams. Cloud Services: Experience with cloud platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a 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 ❯

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 ❯

cost optimisation. Experience with other cloud providers is desirable. Proven experience with DevOps practices, including Infrastructure as Code (eg, Terraform), CI/CD tools (eg, Jenkins, GitLab CI), and containerisation, Linux, Relational and NoSQL databases, building RESTful API Services, Containerisation, Kubernetes, serverless functions, Microservices, and distributed tracing. Enterprise logging, monitoring, and alerting frameworks (eg, ELK, Splunk, Prometheus, Grafana). Automation More ❯

Good Understanding of using Unix/Linux operating systems. For Cloud roles: Understanding of DevOps concepts such as version control, test automation, continuous integration; continuous deployment; infrastructure as code, containerisation, and pipeline orchestration. A strong focus on customer service Technical root cause analysis skills Self-motivated, with an ability to work independently as well as part of an effective team. … WebSphere, AWS, Azure, and Oracle) and relevant tooling (Terraform, Ansible, PowerShell) Strong knowledge of DevOps concepts such as version control, test automation, continuous integration; continuous deployment; infrastructure as code, containerisation, and pipeline orchestration Understanding of Java Applications (Spring, Maven) Understanding of Database technologies (PostgreSQL, Oracle, MSSql) Understanding of Networking Understanding of Web Technologies Understanding of IT Security Experience Essential Recent … For Cloud roles, experience of one or more Cloud technologies: a. Oracle Cloud Infrastructure (OCI) b. Amazon Web Services c. Microsoft Azure d. Infrastructure as Code (Terraform, Ansible) e. Containerisation f. CICD Experience of working as part of a team to provide a service to customers Experience of effectively learning new skills and developing oneself Desirable Recent experience as a More ❯

environments, including development, testing, staging, and production setups. Hands-on experience with cloud services (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, Ansible, Puppet, Chef). Experience with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). More ❯

tooling and techniques. Required qualifications to be successful in this role As a minimum, candidates must have proven technical skills in at least one (ideally several) of the following: • Containerisation/Container Security; • Microservice Architectures; • API Development, REST, Swagger, OpenAPI, gRPC; • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP); • Cloud native Apps, Kubernetes 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 ❯

with Prometheus for monitoring and alerting purposes is desirable. Familiarity with Terraform for infrastructure as code (IaC) to provision and manage any cloud, infrastructure, or service is also needed. Containerization and Kubernetes Experience: Hands-on experience with Docker or other containerization technologies is needed. Understanding of Kubernetes for container orchestration is also crucial, including the ability to design, deploy and 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 ❯