226 to 250 of 852 Containerisation Jobs in England

of their ecosystems. Experience with modern development tools and practices, such as Git, CI/CD pipelines, automated testing frameworks (e.g., Jest, Mocha), and containerisation technologies (e.g., Docker). Knowledge of RESTful API design and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and More ❯

to cross-functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development: Refining models in collaboration with data More ❯

cloud-based applications. This person will work with developers, helping them understand distributed infrastructure & application architectures such as microservices; technologies in the application integration, containerization and serverless space; and patterns and practices, frameworks and best-practices used in the design, build and deployment of modern applications. The Developer Specialist Solutions More ❯

Python, Node.js/JavaScript, PowerShell or C# (.NET), Ruby, Golang. - Understand the complete deployment lifecycle from design, build, test, deploy. Experience with Kubernetes or containerization technologies. Understanding of hypervisor/virtualization and containerization. - Experience with System Administration with Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server and associated. More ❯

or equivalent experience. In-depth knowledge of AWS services including EC2, Lambda, ECS, EKS, S3, VPC, Route 53, API Gateway, and RDS. Experience with containerization technologies (Docker, ECR, ECS, EKS). Strong skills in Infrastructure as Code tools like Terraform and YAML . Proficiency with automation scripting (Bash, Lambda, Node.js More ❯

with required tools and tactics to scale their impact in world-wide markets. The Cloud Support Engineer - Containers role supports services that focus on Containerization including Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Elastic Container Registry (ECR), Fargate, App Mesh, and Batch. In this role, engineers interact with customers More ❯

experience in Java & Spring or other major programming languages. Preferred Qualifications: Experience with Spring Boot, Spark (Big Data), and Message Bus Architecture. Familiarity with containerisation (e.g., Kubernetes), AWS Cloud, and CICD pipelines (Jenkins). If you meet the above criteria and would like to be considered for this role then More ❯

Key skills & experience: Experienced with large-scale integration projects involving microservices , messaging systems (ActiveMQ ), and distributed architectures Web services ( both SOAP and RESTful) and containerisation using Docker Automated testing with frameworks such as JUnit, Mockito, Powermock, JMock, DBUnit, and TestContainers Continuous Integration tools and practices, including Maven, Git, Jenkins, SonarQube More ❯

Key skills & experience: Experienced with large-scale integration projects involving microservices , messaging systems (ActiveMQ ), and distributed architectures Web services ( both SOAP and RESTful) and containerisation using Docker Automated testing with frameworks such as JUnit, Mockito, Powermock, JMock, DBUnit, and TestContainers Continuous Integration tools and practices, including Maven, Git, Jenkins, SonarQube More ❯

Key skills & experience: Experienced with large-scale integration projects involving microservices , messaging systems (ActiveMQ ), and distributed architectures Web services ( both SOAP and RESTful) and containerisation using Docker Automated testing with frameworks such as JUnit, Mockito, Powermock, JMock, DBUnit, and TestContainers Continuous Integration tools and practices, including Maven, Git, Jenkins, SonarQube More ❯

Key skills & experience: Experienced with large-scale integration projects involving microservices , messaging systems (ActiveMQ ), and distributed architectures Web services ( both SOAP and RESTful) and containerisation using Docker Automated testing with frameworks such as JUnit, Mockito, Powermock, JMock, DBUnit, and TestContainers Continuous Integration tools and practices, including Maven, Git, Jenkins, SonarQube More ❯

Git and CI/CD processes. Desirable : Experience with cloud technologies (e.g., AWS, GCP, Azure). Familiarity with Android development using Kotlin. Knowledge of containerization and orchestration tools like Docker and Kubernetes . More ❯

Git and CI/CD processes. Desirable : Experience with cloud technologies (e.g., AWS, GCP, Azure). Familiarity with Android development using Kotlin. Knowledge of containerization and orchestration tools like Docker and Kubernetes . More ❯

Bring Strong experience with Java and the Spring framework (or equivalent). Knowledge of software design patterns and when to apply them. Expertise in containerization using Docker or Kubernetes. Experience with Continuous Integration (CI) and Continuous Delivery (CD). Passion for Test-Driven Development (TDD) and high software quality standards. More ❯

Bring Strong experience with Java and the Spring framework (or equivalent). Knowledge of software design patterns and when to apply them. Expertise in containerization using Docker or Kubernetes. Experience with Continuous Integration (CI) and Continuous Delivery (CD). Passion for Test-Driven Development (TDD) and high software quality standards. More ❯

ecosystem (Spring boot, Maven) Frontend development and it’s ecosystem (React, Npm) Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Role More ❯

Inertia.js is a plus. Strong grasp of object-oriented and functional programming concepts. Experience with testing frameworks like RSpec, Jest, or similar. Familiarity with containerization (Docker) and cloud environments (AWS, Azure, or GCP) is a plus. Experience with authentication and authorization systems (Okta, Devise, or similar) is a plus. Vestmark More ❯

eg SMPTE2110, Ravenna, AES67, Dante, NDI, SRT. Knowledge of scripting languages eg Python. Experience with broadcast industry control protocols eg NMOS, Ember+. Experience of containerization and cloud technologies eg Docker, Kubernetes, Ansible, Terraform. Experience of standard office tools and operating systems eg Microsoft Office 365, Linux, Windows, macOS. Experience of More ❯

or PyTorch. Proven experience deploying ML models in production environments, including model optimisation and scaling. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Excellent problem-solving skills and a self-starter attitude. It would be a bonus for you to have: Master's or Ph.D. More ❯

design tools like Figma, Sketch, Adobe Suite, InVision, or Axure Familiarity with usability testing and user-centered design methodologies CI/CD experience with containerization (Docker) and deployment via Helm and Kubernetes Agile mindset with excellent communication and teamwork skills Deep understanding of accessibility standards and responsive design More ❯

and its services, particularly IAM, S3, EKS, Networking. Experience with implementing/enhancing IaC specifically Terraform. Experience using CloudFormation/CDK. Working knowledge of containerisation and orchestration tools (Docker, Kubernetes). Exposure to working with serverless computing. Experience in delivering monitoring and alerting solutions for diverse systems. Familiarity with CI More ❯

Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker More ❯

understanding of cloud infrastructure, particularly AWS, including hands-on experience with services, cloud architecture, and infrastructure as code (CloudFormation or similar). Proficiency in containerization (Docker) and orchestration (EKS/ECS). Experience with CI/CD pipelines, DevOps practices, and observability tools (monitoring, logging, tracing). Strong grasp of More ❯

role Deep expertise with AWS services (S3, Glue, Lambda, SageMaker, Redshift, etc.) Strong Python and SQL skills; experience with PySpark a bonus Familiarity with containerization (Docker), orchestration (Airflow, Step Functions), and infrastructure as code (Terraform/CDK) Solid understanding of machine learning model lifecycle and best practices for deployment at More ❯

S3, IAM, and more. ? Strong SQL and NoSQL database experience. ? A background in event-driven architectures (Kafka, SNS, SQS). ? Hands-on experience with containerisation (Docker, Kubernetes) . ? Strong knowledge of CI/CD pipelines, DevOps, and Infrastructure as Code (Terraform, CloudFormation) . ? A collaborative, pragmatic approach , comfortable influencing both More ❯