1 to 25 of 161 Containerisation Jobs in West Yorkshire

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 ❯

self-starter with a 'can do' attitude. You will speak fluent English with excellent verbal and written communication skills Proficient with Git and Git workflows Exceptional understanding of AWS, containerisation technology, infrastructure and strong technical design skills. Experience with the full software development lifecycle and delivery using Agile practices. Automating cloud native technologies, deploying applications, and provisioning infrastructure. Infrastructure as More ❯

direction of key projects. Tech You'll Work With: Python (backend focus) AWS serverless (Lambda, DynamoDB, EventBridge, CloudFormation) JavaScript/TypeScript frameworks (Node.js, React, Angular) Docker/Kubernetes for containerisation CI/CD pipelines (Jenkins, AWS CodeBuild, Azure DevOps) Infrastructure as Code (Terraform, CloudFormation) RESTful API and microservices design About You: Youre more than just a strong coder you care 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 ❯

Skills & Expertise • Expertise in C#/.NET Core and modern full-stack development (React, Angular, etc. a plus). • Proven track record building distributed, cloud-native systems. • Skilled with containerisation (Docker/Kubernetes), DevOps tooling, and CI/CD pipelines. • Experience in secure, performance-critical environments. • Eligible for UK Security Clearance. • Strong problem-solving ability, code quality focus, and team More ❯

Skills & Expertise • Expertise in C#/.NET Core and modern full-stack development (React, Angular, etc. a plus). • Proven track record building distributed, cloud-native systems. • Skilled with containerisation (Docker/Kubernetes), DevOps tooling, and CI/CD pipelines. • Experience in secure, performance-critical environments. • Eligible for UK Security Clearance. • Strong problem-solving ability, code quality focus, and team More ❯

Cloud computing Security OWASP Top Ten Denial of Service SQL Injection Cross Site Request Forgery High Availability products - EDB failover manager RPC concepts and transport mechanisms - HTTP, Shared memory Containerisation - Docker, Kubernetes The role: As a Senior Java Developer, you will be a skilled practitioner and a role model in software craftsmanship, responsible for ensuring best practices are adhered to More ❯

ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core More ❯

End Date Wednesday 04 June 2025 We support flexible working – click here for more information on flexible working options Flexible Working Options Flexibility in when hours are worked, Hybrid Working, Reduced Hours Job Description Summary Aims to deliver the highest More ❯

stack experience with JavaScript is a plus. Proven experience building and leading teams delivering secure, scalable systems. Solid grasp of microservices, REST APIs, and architectural best practices. Proficiency in containerization tools (Docker, Kubernetes), and CI/CD pipelines (e.g. GitHub Actions). Exposure to cloud platforms - Azure preferred , but AWS or GCP also considered. Familiarity with monitoring/logging tools More ❯

. Proven experience leading engineering teams and delivering distributed systems at scale. Strong grasp of system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform – Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring More ❯

. Proven experience leading engineering teams and delivering distributed systems at scale. Strong grasp of system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform - Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring More ❯

. Proven experience leading engineering teams and delivering distributed systems at scale. Strong grasp of system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform – Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring More ❯

. Proven experience leading engineering teams and delivering distributed systems at scale. Strong grasp of system architecture, design patterns, and secure coding practices. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and microservices. Experience with at least one cloud platform - Azure preferred, but AWS or GCP also welcome. Bonus Skills: Knowledge of database systems, test automation frameworks, and monitoring More ❯

of microservices architecture and RESTful APIs. * Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). * Hands-on experience with cloud platforms (AWS, Azure, or GCP). * Familiarity with containerization (Docker, Kubernetes). * Knowledge of design patterns, OOP principles, and clean code practices. * Experience with Git, Jenkins, CI/CD pipelines. * Strong problem-solving and debugging skills. * Excellent communication and More ❯

SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in More ❯

SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in More ❯

SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in More ❯

management, encryption standards, and compliance audits. Design, implement, and manage various DevOps tools and technologies, including CI/CD platforms (Jenkins, GitLab CI), configuration management tools (Ansible, Puppet), and containerization technologies (Docker, ECS, Kubernetes). Monitor system performance, identify bottlenecks, and implement optimizations to improve reliability and efficiency. Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, AWS CloudFormation More ❯

including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more junior team members internally. Initial More ❯

skills. Experience working with legacy code modernization projects. Knowledge of CI/CD pipelines and DevOps practices. Experience with IaC tools like Terraform or Azure Resource Manager. Experience in containerization technologies like Docker and Kubernetes. Experience with Python for data manipulation and analysis Your approach to work Governance-first approach that is structured, policy-driven, documented, and scalable whilebalancing control More ❯

designing and building infrastructure using a DevOps mindset in the Azure public cloud Extensive experience with distributed systems and ability to build secure cloud at scale Extensive experience using containerization technologies (Docker, Kubernetes etc) Ability to both manage and lead stakeholders and clients on engagements instilling trust and confidence through effective communication skills Extensive experience with IaC such as Terraform More ❯

ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core More ❯