1 to 25 of 631 Containerisation Jobs in the South East

across the stack. Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required 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 ❯

problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and troubleshooting skills, with a keen attention to detail. Good to have: Experience with microservices architecture and containerisation (Docker, Kubernetes). Familiarity with automated testing frameworks and continuous integration tools. Knowledge of modern authentication and authorization protocols (OAuth, JWT, etc.). Prior experience with version control systems, particularly More ❯

Familiarity with additional backend technologies such as Node.js, Python, or Java is a plus. Nice-to-Have Skills: Experience with infrastructure automation tools (e.g., Terraform, Ansible). Knowledge of containerization and orchestration tools such as Docker and Kubernetes. Familiarity with Agile/Scrum methodologies. Experience in serverless architectures and microservices. Package and Benefits: Bonus Scheme 25 Days Annual Leave + 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 ❯

platform that streamlines development workflows, simplifies infrastructure management, and enhances overall productivity. This role requires a strong understanding of cloud computing (specifically Azure), infrastructure-as-code (IaC), DevOps practices, containerisation, orchestration, and a passion for building developer-friendly platforms. Key Responsibilities: Platform Design & Development: Design, develop, and maintain the core platform infrastructure on Azure, including networking, compute, storage, security, and … the platform, ensuring seamless access and efficient resource utilisation. Implement automation for Databricks workspace setup, cluster configuration, and job deployments. Optimise Databricks workloads for performance, scalability, and cost-effectiveness. Containerisation & Orchestration: Implement and manage containerised applications and services using Docker and Kubernetes (or Azure Kubernetes Service - AKS). Design and implement container orchestration strategies for deploying and scaling platform components. … Terraform, ARM templates, or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like Azure DevOps, Jenkins, or GitLab CI. Strong experience with containerisation technologies like Docker and orchestration tools like Kubernetes (or AKS). Experience with monitoring and logging tools. Scripting skills in PowerShell, Bash, YAML and Python. Good understanding of networking concepts More ❯

control systems (e.g., Git). • Excellent problem-solving and communication skills. Preferred Qualifications: • Ansible Certification or equivalent experience. • Experience with other automation tools (Terraform, Puppet, Chef). • Understanding of containerization (Docker, Kubernetes). • Exposure to monitoring and logging tools (Prometheus, ELK Stack). More ❯

include: Cloud Providers (Azure, AWS). Configuration Management Tooling (GitLab or similar). Project/Issue Management Tooling (JIRA or similar). Infrastructure As Code (ARM Templates, Terraform). Containerisation (Docker, Podman) and Container Orchestration Systems (Docker Swarm, Kubernetes). All applicants must hold or be prepared to undergo National Security Vetting (NSV) Security Check (SC) level. #J-18808-Ljbffr More ❯

scale systems Desirable skills include: • Cloud Providers (Azure, AWS) • Configuration Management Tooling (GitLab or similar) • Project/Issue Management Tooling (JIRA or similar) • Infrastructure As Code (ARM Templates, Terraform) • Containerisation (Docker, Podman) and Container Orchestration Systems (Docker Swarm, Kubernetes) #LI-UKA Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect More ❯

Social network you want to login/join with: Software Engineer Java Springboot, reading col-narrow-left Client: Stealth iT Consulting Location: reading, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted More ❯

infrastructure-focused role Working knowledge of Linux-based systems and scripting languages (e.g. Bash, Python) Hands-on experience with a public cloud platform (preferably AWS) Familiarity with Docker and containerisation (Kubernetes experience is a plus) A strong interest in automation, infrastructure best practices, and continuous learning Good communication skills and a collaborative mindset Experience with Terraform, Ansible, or Helm Familiarity More ❯

control systems (e.g., Git). Excellent problem-solving and communication skills. Preferred Qualifications : Ansible Certification or equivalent experience. Experience with other automation tools (Terraform, Puppet, Chef). Understanding of containerization (Docker, Kubernetes). Exposure to monitoring and logging tools (Prometheus, ELK Stack). Mandatory Skills: Ansible Tower . Experience: 8-10 Years . 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 ❯

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 ❯

LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and More ❯