1 to 25 of 39 Containerisation Jobs in Birmingham

Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/CD tools such as Jenkins or Azure DevOps. ...

full stack development skills using Python, HTML, CSS & JavaScript. Experience with JavaScript libraries and frameworks such as Node, React, or Angular. Strong experience with containerisation (Docker, Kubernetes) and Microservices architecture. Expertise in RESTful API Services. Expertise in agile methods (Scrum, Kanban, TDD). Proficiency in Infrastructure As Code (Terraform, Cloudformation ...

maintainable code for tooling and automation. Hands-on experience with Infrastructure as Code (IaC) frameworks such as Terraform, Ansible, or CloudFormation. Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically ...

full stack developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScriptJavaScript library and framework experience is preferable – Node, React, Angular Containerisation experience – Docker or Kubernetes or similarExperience of Microservices design and architecture Restful API Services experienceWorking within agile methods and using techniques such as Scrum, Kanban ...

Microservices design and architecture, including RESTful API services and Kotlin-based microservice patterns.Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform.Proficient in using CI/CD tools such as Jenkins ...

maintainable code for tooling and automation. Hands‐on experience with Infrastructure as Code (IaC) frameworks such as Terraform, Ansible, or CloudFormation. Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically ...

monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Skills in data engineering, including building data pipelines, data wrangling ...

delivering user-centred digital solutions.Advanced full stack skills across the front end (React/Next.js) and back end (Node/Express).Deep knowledge of containerisation (Docker, Kubernetes) and Microservices architecture.Expertise in RESTful API design and complex system integration.Proficiency in agile methods and using techniques such as Scrum, Kanban, and TDD.Strong ...

cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines ...

cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions.Strong skills in data engineering, including building data pipelines, data wrangling ...

native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data ...

development lifecycle for user-centred digital solutions at scale.Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments.Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures.Strategic design of system integrations and large-scale application architectures.Mastery of agile methodologies and their application across large, distributed teams.Enterprise ...

user-centred digital solutions at scale. Advanced expertise in architectural strategies and technical roadmaps across diverse and complex environments. Expert level experience with containerisation (Docker, Kubernetes) and complex Microservices architectures. Strategic design of system integrations and large-scale application architectures. Mastery of agile methodologies and their application across large, distributed ...

relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB)You have a strong appreciation of DevOps, CI/CD, GitHub Actions, JenkinsYou're familiar with containerisation (Docker), cloud services (AWS), and Infrastructure-as-Code (Terraform)You're comfortable taking ownership of projects, working with the Lead Engineer and mentoring more junior ...

learn and grow. What to expect as a Platform Engineer (DevOps) joining the Academy? 6-8 weeks training program - internal and external training on: Containerisation and container orchestration tools, including Docker, Kubernetes. Tools for automating the configuration of cloud services, e.g. Terraform. Agile software development methodologies and helpful tools ...

e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native AI/ML systems. Proficiency in data engineering, including data wrangling ...

SaaS environments. Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ML model deployment. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

Stack development workflows/processes and front-end familiarity (JavaScript, React/Next.js) Able to utilise AI coding tools for increased velocity Experience with containerization (Docker) and version control (Git) Proven ability to integrate with CI/CD pipelines and maintain testable, maintainable code Ability to work cross-functionally with ...

Full-Stack development workflows/processes and front-end familiarity (JavaScript, React/Next.js)Able to utilise AI coding tools for increased velocityExperience with containerization (Docker) and version control (Git)Proven ability to integrate with CI/CD pipelines and maintain testable, maintainable codeAbility to work cross-functionally with product ...

arrangements, which you can discuss with Talent Acquisition. Your skills & experience: Extensive full-stack engineering experience, with practical knowledge of DevOps deployment pipelines and containerisation using Docker and Kubernetes. Proven track record in building cloud-native applications, particularly within Azure environments. Experience in developing GenAI applications, including retrieval-augmented generation ...

working arrangements, which you can discuss with Talent Acquisition.Your skills & experience:Extensive full-stack engineering experience, with practical knowledge of DevOps deployment pipelines and containerisation using Docker and Kubernetes.Proven track record in building cloud-native applications, particularly within Azure environments.Experience in developing GenAI applications, including retrieval-augmented generation (RAG), prompt ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...