526 to 550 of 2,086 Containerisation Jobs

etc. all working together to achieve a common goal of applying best practice in DevOps. Key Responsibilities Extensive experience of DevOps tooling, containers and containerisation Communication: Able to speak to stakeholders and be able to transfer business requirements into technical implementation Facilitate information/business knowledge: Able ...

distributed applications in a complex enterprise environment. Strong knowledge of software architecture, design patterns, system integration and API development. Strong practical experience with AWS, containerization technologies and cloud-native architectures. Experience with CI/CD, automated testing, application resiliency and operational excellence practices. Experience leading technical delivery across multiple teams ...

Excellent communication and stakeholder engagement skills## Nice to have* Experience with Azure AI, Microsoft Copilot Studio and AI Agents* Azure Kubernetes Service (AKS) and containerisation experience* Microsoft Azure and/or Power Platform certifications* Experience working within enterprise governance and architecture frameworks* Work with modern Microsoft technologies across Azure, Power ...

with Electronics and lower‐level firmware Using and generating documentation to create interfaces machine to machine Test frameworks and test development Microservices architecture/containerisation Development of new applications to meet user expectations and within formal constraints. HMI/GUI/UX experience needed. Familiarity with the tools and approaches ...

DevOps exposure including Git or version control systems and CI/CD tools such as Azure DevOps or Jenkins. Knowledge of cloud deployment models, containerization using Docker, and orchestration using Kubernetes. Experience & Qualifications: 10+ years of relevant experience in the ECM/Documentum ecosystem. Proven experience in large-scale enterprise ...

operational data. Understanding of asynchronous messaging, system queues and service-to-service communication. Experience with cloud, on-premises or hybrid deployment models. Knowledge of containerisation technologies such as Docker. Familiarity with CI/CD pipelines, source control, automated testing and modern DevOps practices. Experience designing solutions with security, performance, resilience ...

Excellent communication and stakeholder engagement skills Nice to have Experience with Azure AI, Microsoft Copilot Studio and AI Agents Azure Kubernetes Service (AKS) and containerisation experience Microsoft Azure and/or Power Platform certifications Experience working within enterprise governance and architecture frameworks Why join us? Work with modern Microsoft technologies ...

modern programming languages including C/C++, Golang, Python, Java, or Rust. Cloud‐Native & Infrastructure: Extensive hands‐on experience with cloud-native orchestration and containerization frameworks (Kubernetes, Docker, Helm). Experience with infrastructure‐as‐code, configuration management (Ansible, Terraform), and network automation protocols (NetConf, YANG). Distributed Systems & Observability: Deep ...

quantitative field Preferred qualifications, capabilities, and skills Postgraduate‐level qualification in data science, artificial intelligence, or machine learning Practical experience with CI/CD, containerization, and cloud‐native deployment patterns Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML/ ...

automate release builds, testing, and log analysis. Robotics Frameworks : Familiarity with ROS/ROS 2 (debugging nodes, analyzing rosbag files, topics, and services). Containerization : Strong proficiency with Docker (building images, managing multi-container deployments, docker-compose). Package Management : Familiarity with building, hosting, and maintaining Debian/apt repositories. ...

modern programming languages including C/C++, Golang, Python, Java, or Rust. Cloud-Native & Infrastructure: Extensive hands-on experience with cloud-native orchestration and containerization frameworks (Kubernetes, Docker, Helm). Experience with infrastructure-as-code, configuration management (Ansible, Terraform), and network automation protocols (NetConf, YANG). Distributed Systems & Observability: Deep ...

related quantitative fieldPreferred qualifications, capabilities, and skillsPostgraduate-level qualification in data science, artificial intelligence, or machine learningPractical experience with CI/CD, containerization, and cloud-native deployment patternsExperience within financial services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing ...

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 ...

processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven training runs. Containerisation and infrastructure as code: Docker and CUDA‐based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than ...

Experience with monitoring, logging, and performance management tools. DesirablePython scripting and automation development. PowerShell scripting and Windows automation. Infrastructure as Code technologies. Experience with containerisation technologies such as Docker and Kubernetes. Cloud platform experience (Azure preferred).Experience with application monitoring and observability platforms. Experience implementing DevSecOps practices. Familiarity with SonarQube ...

scalable software. Designing and building complex components of client deliverables across backend and edge/IoT domains. Implementing robust CI/CD processes and containerisation strategies using Docker and Kubernetes. Shipping production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams ...

with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity with agile methodologies. Experience with SOLID principles and application architecture design. Proficiency ...

general security testing awareness. Familiarity with test management and defect tracking tools (e.g., JIRA) and modern reporting and orchestration tools. Knowledge of cloud environments, containerization, and infrastructure-as-code concepts impacting test environments. Experience leading testing within large-scale transformation programmes involving multi-vendor ecosystems and geographically distributed teams. Strong ...

service integration Strong Python skills and service/backend engineering experience (ideally in FastAPI/OpenAPI, Flask, Go, or Java) Production experience with containerization and orchestration (ideally Kubernetes – EKS/OpenShift), Docker, and IaC (ideally Terraform or Terraform Cloud) Ownership of CI/CD pipelines, monitoring/alerting ...

Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products ...

responsible AI.Cloud platforms including Microsoft Azure, AWS and/or Google Cloud, with deep expertise in at least one. Cloud-native architectures, microservices, containerisation including Docker and Kubernetes, and DevOps. Cloud strategy, adoption, workload migration, hybrid and multi-cloud environments, and FinOps. Cloud infrastructure, networking and security. API integration ...

Large Language Models (LLMs), inference services, and AI infrastructure. Required SkillsCloud & InfrastructureOracle Cloud Infrastructure (OCI) Cloud Architecture Infrastructure as Code (IaC) Terraform Ansible Kubernetes Containerisation Cloud Migration HPC & AIHigh Performance Computing (HPC) GPU Computing AI Infrastructure Machine Learning Platforms Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving ...

Identity and access management, cloud networking, and cloud security best practices in Azure or AWS.Implementation and management of Infrastructure as Code in enterprise environments. Containerisation and orchestration with KubernetesExperienced using Azure DevOps, GitHub Actions, GitLab or similar CI/CD tools to design and implement pipelinesAbility to automate complex solutions ...