101 to 125 of 1,446 Containerisation Jobs in the UK

database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem ...

engineering, or related field 6+ years of experience in platform engineering, DevOps, or infrastructure roles Strong experience with cloud platforms (Azure preferred) Proficiency in containerisation (Docker, Kubernetes) Hands‐on experience with CI/CD tools (GitHub, Azure DevOps, GitLab CI) Experience with IaC tools (Terraform, Pulumi, Ansible) Proven expertise ...

processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...

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 ...

database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem ...

technologies: TypeScript, React (or similar frameworks).Strong back-end experience with C# language.SOLID principle.Good understanding of RESTful APIs.Experience with cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).Knowledge of CI/CD tools and practices (e.g., GitLab).Familiarity with automated testing frameworks and maintaining code quality.Strong database skills ...

effectively 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 ...

across a variety of languages, e.g. JavaScript frameworks (React, NextJS), TypeScript, Python, Java REST API development OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation Testing frameworks (e.g. Mocha, Jest ...

similar frameworks).* Strong back-end experience with C# language.* SOLID principle.* Good understanding of RESTful APIs.* Experience with cloud platforms (AWS preferred) and containerization (Docker/Kubernetes).* Knowledge of CI/CD tools and practices (e.g., GitLab).* Familiarity with automated testing frameworks and maintaining code quality.* Strong ...

design and support knowledge of Cloud Infrastructure technologies such as, but not limited to AWS/AzureStrong scripting/coding skills (Python, Bash) and containerization experience (Docker, Kubernetes)Strong understanding of networking (VPCs, load balancing, DNS)Understanding of security best practices (IAM, encryption, secrets management)Experience with CI/ ...

support knowledge of Cloud Infrastructure technologies such as, but not limited to AWS/Azure Strong scripting/coding skills (Python, Bash) and containerization experience (Docker, Kubernetes) Strong understanding of networking (VPCs, load balancing, DNS) Understanding of security best practices (IAM, encryption, secrets management) Experience with CI/CD pipelines ...

design, PII handling, secrets management, policy enforcement, human‐in‐the‐loop approvals, auditability.Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s).Leadership & Communication:Executive presence: influence C‐suite decisions with crisp, data‐backed narratives.Lead distributed teams across geographies/time zones; resolve conflicts ...

such as 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 ...

MongoDB, PostgreSQL, MySQL).Familiarity with authentication and authorisation mechanisms (OAuth, JWT, etc.).Experience with version control systems like Git and GitHub/GitLab.Familiarity with containerization technologies such as Docker.Strong understanding of web performance, security best practices, and error handling.Ability to write clean, efficient, and scalable code.Familiarity with CI/ ...

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 ...

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 ...

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 ...

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 ...

record of migrating or upgrading legacy pipelines. Modern Tooling: Deep expertise in industry-standard tools like GitLab CI, GitHub Actions, Jenkins, or Azure DevOps. Containerization: Strong experience with Docker and Kubernetes to modernize application packaging and deployment. Automation Logic: Proficiency in Python, Bash, C#, or PowerShell to automate repetitive tasks. ...

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 ...

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 ...

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 ...