101 to 125 of 1,364 Containerisation Jobs in the UK

architecture. Mastery of IaC tools (e.g., Terraform, Pulumi) and config management (e.g., Ansible, Chef). Strong AWS architecture skills and cost optimisation strategies Advanced containerization and orchestration experience (Docker, Kubernetes, etc.). Proficiency in observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Security-first mindset with hands‐on experience in access ...

DevOps & CI/CD Familiarity with continuous integration and continuous delivery (CI/CD) concepts and tools (e.g., Jenkins, GitLab CI). Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes or OpenShift. General Skills Experience contributing to successful software projects. Demonstrates ownership and sound judgment in technical ...

improving CI/CD pipelines using GitLab or comparable tooling, covering automated build, test, security assurance, deployment and release processes. Strong practical experience with containerisation and orchestration, including Docker, Kubernetes and Helm, alongside an understanding of GitOps principles such as declarative configuration and controlled environment promotion. Proven experience using Terraform ...

plus. DevOps & CI/CD:Familiarity with continuous integration and continuous delivery (CI/CD) concepts and tools (e.g., Jenkins, GitLab CI).Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes or OpenShift. General Skills: Experience contributing to successful software projects. Demonstrates ownership and sound judgment in technical ...

GitHub Actions, TeamCity, Azure DevOps, or comparable technologies. Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such as Terraform, Ansible, Docker, or Kubernetes. Demonstrable understanding of software architecture, distributed systems, and microservices, with experience making pragmatic technical decisions across ...

Deployment Knowledge - Familiarity with deploying AI models and AI-enabled services using cloud platforms such as AWS, Azure, or GCP, MLOps practices, cloud architecture, containerisation, model monitoring, and secure production deployment patterns. Problem-Solving and Communication skills - Ability to translate complex business and engineering challenges into practical AI solutions, explain ...

within a collaborative team environment. Desirable AttributesPrior internship experience in a software development role. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated, integrated solutions — business ...

microservicesFrontend: AngularData: SQL Server, PostgreSQL, ETL pipelines, data lake patternsArchitecture: Event-driven systems, microservices, API-first designDevOps: CI/CD (GitHub Actions, Jenkins), Terraform, containerization (Docker/Kubernetes)Orchestration - : Airflow, Step Functions, BPM toolsObservability (desirable): GrafanaAI (desirable): AI/ML or GenAI adoption for automation and operational efficiencyExperience & SkillsProven experience ...

Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor.* GraphQL or comparable API technologies.* Cloud platforms such as AWS, Azure or GCP.* Containerisation and orchestration using Docker and Kubernetes.* NoSQL, caching or distributed data technologies.* Experience choosing between relational, NoSQL and other persistence technologies.* Workflow orchestration and modelling ...

Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor.* GraphQL or comparable API technologies.* Cloud platforms such as AWS, Azure or GCP.* Containerisation and orchestration using Docker and Kubernetes.* NoSQL, caching or distributed data technologies.* Experience choosing between relational, NoSQL and other persistence technologies.* Workflow orchestration and modelling ...

languages such as Python, Go, Java, or Bash to construct production-grade tooling. Cloud Native & Systems Fundamentals: Proficiency with Linux-based systems, distributed systems, containerization (Kubernetes/GKE), and public cloud platforms (GCP/GCE). Infrastructure as Code (IaC): Understanding of modern CI/CD patterns and IaC tools ...

/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven Design ...

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 ...

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 ...

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 ...

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 ...

Hands on experience delivering software using multiple programming languages, and a thorough understanding of modern software engineering best practices Deep experience with containerisation and orchestration tools (e.g. Docker, Kubernetes) Experience architecting cloud infrastructure, and taking it through to deployment and support Experience working within multidisciplinary teams with product, design ...

Experience with frameworks such as Spring Boot, Quarkus, Micronaut or Ktor. GraphQL or comparable API technologies. Cloud platforms such as AWS, Azure or GCP. Containerisation and orchestration using Docker and Kubernetes. NoSQL, caching or distributed data technologies. Experience choosing between relational, NoSQL and other persistence technologies. Workflow orchestration and modelling ...

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 Security Clearance Due to the nature of our work, successful ...

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 Security Clearance Due to the nature of our work, successful ...

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 Security Clearance Due to the nature of our work, successful ...

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 Security Clearance Due to the nature of our work, successful ...

TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code. Strong problem‐solving and debugging skills, and experience working in cluster settings or cloud‐based environments. Experience operating production services, monitoring ...

post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observabilityDeep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls ...

Experience Core Software Engineering JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud & Infrastructure Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Data & Search Technologies Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Testing & Quality Unit testing and automation ...