326 to 350 of 868 Containerisation Jobs in England

code quality, automated testing (Vitest, Playwright) and observability to deliver resilient, maintainable, and production-ready business logic. Drive DevOps excellence by collaborating on CI/CD pipelines (Jenkins, Concourse), containerisation (Docker) and Kubernetes deployments. Mentor and empower fellow engineers through thoughtful code reviews, technical guidance and fostering a culture of collaborative problem-solving. Influence technical strategy by working within a More ❯

Requirements for success Strong commercial experience with Python (Django or Flask or FastAPI) and frontend experience with React/Typescript. Solid understanding of AWS, CI/CD pipelines and containerisation (Terraform, Docker). Comfortable working across the stack - from database design to frontend interfaces. Excellent communication skills and ability to translate technical concepts for non-technical teams. Motivated by working More ❯

have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects More ❯

have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins or GitHub Actions You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects More ❯

Are: You have 8+ years of experience in cloud engineering and architecture, with at least 2+ years in a leadership or team lead position. You are an expert in containerisation and orchestration, with profound, hands-on experience with Kubernetes in production environments. You hold advanced-level certifications in one or more major cloud platforms (e.g., AWS Solutions Architect Professional, Azure More ❯

or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving More ❯

automate, and use AI effectively Desirables: • Exposure to Puppet, Terraform, or Ansible • Experience with automation frameworks and infrastructure as code • Familiarity with cPanel, Plesk, or Windows Server • Knowledge of containerisation, monitoring and logging More ❯

its ML ecosystem (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Strong background in statistical analysis, algorithm design, and software engineering best practices. Experience with Docker and Kubernetes for containerization and orchestration. Proficiency with modern version control systems (Git). Familiarity with common data sources and types within the energy sector (e.g., SCADA data, seismic data, well logs, sensor data More ❯

automation and maintainable code. Cloud Expertise: Hands-on experience with a major cloud provider (ideally GCP ). Infrastructure as Code: Strong working knowledge of Terraform (Terramate a plus). Containerisation: Proficiency with Kubernetes (preferably GKE ). CI/CD: Familiarity with GitLab CI and continuous integration concepts. Mindset: Pragmatic, customer-focused, and driven by efficiency and automation. Education: Minimum More ❯

automation and maintainable code. Cloud Expertise: Hands-on experience with a major cloud provider (ideally GCP ). Infrastructure as Code: Strong working knowledge of Terraform (Terramate a plus). Containerisation: Proficiency with Kubernetes (preferably GKE ). CI/CD: Familiarity with GitLab CI and continuous integration concepts. Mindset: Pragmatic, customer-focused, and driven by efficiency and automation. Education: Minimum More ❯

Exposure to TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus More ❯

interest in areas such as graphics, user experience, and cross-platform development. Familiarity with tools such as Git and Jira. Exposure to or curiosity about modern DevOps practices (e.g. containerisation, cloud, CI/CD). A passion for software quality and maintainability. A growth mindset – open to learning new languages, platforms, and techniques. Strong communication skills and the ability to More ❯

analyzing performance test results to identify breaches in service baselines. Understanding of AI-powered analytics to recommend optimizations for service reliability. Desirable skills/knowledge/experience: Cloud and containerization experience (Kubernetes, Docker) with cost/efficiency optimization knowledge. Exposure to Agile/DevSecOps environments and reliability governance frameworks. Experience in high-availability systems for airline or e-commerce customer More ❯

Ensure compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical More ❯

Ensure compliance, governance of all ML processes and workflows. What We Look For Experience building and operating ML infrastructure, ideally in production environments serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical More ❯

Exposure to TDD or similar testing practices Attention to detail, especially in UX/UI What You'll Get to Work With: Modern microservices architecture powering high-volume systems Containerisation using Docker and Kubernetes for scalable deployments Cloud-native platforms and automated CI/CD pipelines Real-time performance engineering and distributed computing challenges Secure development practices with a focus More ❯

Stack PHP Developer - Preston Full Stack PHP Developer, with excellent Laravel, PHP, JavaScript (ideally Vue.JS) & Cloud (AWS or Azure) experience is required by a leading company based in Preston. Containerisation, TDD or .NET skills would be a bonus. Due to investment and a pipeline of brand-new green field work, they need a couple of Full Stack Developers to join More ❯

PHP Developer - Preston Lead Full Stack PHP Developer, with excellent Laravel, PHP, JavaScript (ideally Vue.JS) & Cloud (AWS or Azure) experience is required by a leading company based in Preston. Containerisation, TDD or .NET skills would be a bonus. Due to investment and a pipeline of brand-new green field work, they need a Lead Full Stack Developer to join the More ❯

In-depth understanding with cloud infrastructure and resource optimisation (Azure preferred) Experience with CI/CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation/orchestration (Docker/Kubernetes) Strong collaboration and problem-solving abilities Knowledge of cybersecurity practices, including static and dynamic scanning standards Familiarity with modern DevOps pipelines and platform architecture Awareness More ❯

In-depth understanding with cloud infrastructure and resource optimisation (Azure preferred) Experience with CI/CD pipelines, performance tuning and DevOps (Azure DevOps desirable) Familiarity with monitoring, automation and containerisation/orchestration (Docker/Kubernetes) Strong collaboration and problem-solving abilities Knowledge of cybersecurity practices, including static and dynamic scanning standards Familiarity with modern DevOps pipelines and platform architecture Awareness More ❯

AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower). - Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise in containerisation (Docker, Docker Compose). - Solid CI/CD engineering with GitHub Actions and/or Argo CD. Preferred/Bonus - Research experience in edge AI or constrained/offline deployments. More ❯

and drive the organization’s cloud strategy, focusing on AWS services such as EC2, S3, Lambda, RDS, DynamoDB, and CloudFormation/Terraform. Architect solutions using best practices in microservices, containerization, and serverless computing. Design fault-tolerant, highly available, and scalable cloud infrastructures to support real-time applications. Kafka Integration and Optimisation Design and manage Kafka clusters to ensure scalability, durability More ❯

factor authentication, Azure AD Application Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps (Azure Pipelines, Repos, Artifacts) or GitHub More ❯

AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower). - Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise in containerisation (Docker, Docker Compose). - Solid CI/CD engineering with GitHub Actions and/or Argo CD. Preferred/Bonus - Research experience in edge AI or constrained/offline deployments. More ❯

with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. Acxiom is a customer More ❯