76 to 100 of 1,057 Containerisation Jobs

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 ...

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 ...

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 ...

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 ...

infrastructure.Technical Proficiency: Exhibiting a good grasp of cloud platform engineering principles and demonstrating expertise in areas such as cloud service providers AWS, Azure, GCP, containerization technologies like Docker and Kubernetes, and infrastructure as code IaC.Independent Work and Initiative: Expected to work independently on specific tasks, showcasing initiative and problem solving ...

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 ...

analyse performance, load, stress, and volume tests. • Familiarity with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). • Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). • Ability to analyse complex performance issues and provide actionable recommendations. • Strong scripting skills (e.g., Python, JavaScript ...

work within a Shell environment (eg Bash). Demonstrated ability to drive and implement automation initiatives. Strong hands-on experience with Kubernetes and containerisation technologies. Overview We are seeking an experienced Google Cloud Platform (GCP) Platform Provisioning Engineer to join a leading global financial services organisation on a major cloud ...

scripts for automation and deployment tasks. Ensure secure deployment practices and compliance with security standards. Implement and manage monitoring, alerting, and logging solutions. Support containerization efforts using Docker and orchestration with Kubernetes. Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions. Maintain version control ...

operational activities. Implement secure deployment practices and ensure compliance with relevant security standards. Implement and maintain monitoring, alerting and logging across Azure environments. Support containerisation initiatives using Docker and orchestration with Kubernetes . Troubleshoot pipeline and deployment issues, conducting root cause analysis and implementing effective resolutions. Collaborate with developers, testers ...

related frameworks. Strong understanding of microservices architecture and API development. Experience working with cloud platforms such as AWS, Azure or GCP . Exposure to containerisation technologies including Docker and Kubernetes . Experience with Infrastructure as Code tools such as Terraform . Strong understanding of modern engineering practices including CI/ ...

GitHub Actions, Jenkins) Comfortable working in agile development environments Desirable Skills Experience working on greenfield projects Cloud platform experience (e.g., Azure, AWS) Knowledge of containerisation (Docker/Kubernetes) Passion or interest in tech-for-good initiatives Benefits Hybrid working: 3 days in office North of Newcastle (free parking) , 2 days ...

GitHub Actions, Jenkins) Comfortable working in agile development environments Desirable Skills Experience working on greenfield projects Cloud platform experience (e.g., Azure, AWS) Knowledge of containerisation (Docker/Kubernetes) Passion or interest in tech-for-good initiatives Benefits Hybrid working: 3 days in office North of Newcastle (free parking) , 2 days ...

related frameworks. Strong understanding of microservices architecture and API development. Experience working with cloud platforms such as AWS, Azure or GCP . Exposure to containerisation technologies including Docker and Kubernetes . Experience with Infrastructure as Code tools such as Terraform . Strong understanding of modern engineering practices including CI/ ...

scripts for automation and deployment tasks. Ensure secure deployment practices and compliance with security standards. Implement and manage monitoring, alerting, and logging solutions. Support containerization efforts using Docker and orchestration with Kubernetes. Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions. Maintain version control ...

work within a Shell environment (e.g. Bash). Demonstrated ability to drive and implement automation initiatives. Strong hands-on experience with Kubernetes and containerisation technologies. Experience with Amazon Web Services (AWS). Experience with Microsoft Azure. Experience working within large-scale enterprise or financial services environments. Experience supporting multi-cloud ...

work within a Shell environment (e.g. Bash). Demonstrated ability to drive and implement automation initiatives. Strong hands-on experience with Kubernetes and containerisation technologies. Desirable Skills: Experience with Amazon Web Services (AWS). Experience with Microsoft Azure. Experience working within large-scale enterprise or financial services environments. Experience supporting ...