301 to 325 of 1,344 Containerisation Jobs in the UK excluding London

Required Skills: • AWS or Azure professional-level expertise. • Strong Terraform or CloudFormation skills. • CI/CD tools such as GitHub Actions, Jenkins, GitLab CI. • Containerisation with Docker and orchestration (ECS, Kubernetes). • Networking, security groups, VPC design. • Monitoring tools (CloudWatch, ELK, Datadog). ...

experience with Microservices architecture and RESTful APIs. Proficiency with Kafka and distributed streaming systems. Solid understanding of SQL and data modeling. Experience with containerization (Docker) and orchestration (Kubernetes). Working knowledge of Flink, Spark, or Databricks for data processing. Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.). Basic ...

Senior capacity in their current role, and have the following: Experience with Azure Cloud (AWS and GCP will also be considered) Strong Containerisation/Orchestration work with Kubernetes Strong hands-on experience with Terraform for IaC Wealth of work across CI/CD, Monitoring, and Automation Software Development background, capable ...

least one of AngularJS/React/VueJS/Windows infrastructure - IIS, Windows Server Understanding of relational databases (e.g., SQL Server) Experience with containerisation - Docker and K8s Scripting languages - Bash or PowerShell ...

NoSQL databases CI/CD & modern DevOps practices Experience Solid experience in .NET software engineering (C#) Strong cloud experience, ideally with Azure Familiarity with containerisation & orchestration (Kubernetes preferred) Good understanding of software architecture and clean code principles Comfortable working independently and as part of a collaborative team Experience with performance ...

experience with PHP and Laravel Experience with React.js for frontend development Strong understanding of API development and relational databases Exposure to cloud platforms or containerisation is a bonus Passion for building technology that improves healthcare and patient outcomes Benefits Hybrid working, meaningful work in the health-tech space, ongoing training ...

Ironic SDK or bare-metal provisioning workflows. Exposure to Vault, GitLab CI/CD, and workflow orchestration tools (Temporal or Cadence). Experience with containerization (Docker/Podman) and Kubernetes. Understanding of monitoring, alerting, and operational enablement best practices. ...

DevOps & CI/CD - Strong grasp of DevOps principles. Experience with Azure DevOps, GitHub Actions, Jenkins. AZ-400 certification desirable Containerisation - Experience with AKS/EKS, Proficiency in AWS CloudFormation or ARM templates Scripting & Automation - Proficient in PowerShell, Bash, or Python Infrastructure as Code (IaC) - Hands-on experience with Terraform ...

solutions. Excellent problem-solving skills and the ability to troubleshoot complex environment issues. Experience with scripting languages such as PowerShell or Python. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. If you are interested in this opportunity please apply online or for more information, please email ...

products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector If you are available ...

/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect ...

/or NoSQL databases. Solid understanding of software development principles, design patterns, and agile methodologies. Experience with Python is a significant advantage. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with CI/CD pipelines. Please send me your CV for more information on these roles. Reasonable Adjustments: Respect ...

testing Ability to work collaboratively in a team environment Desirables Azure cloud experience (App Services, Functions, Storage, Service Bus, etc.) Exposure to microservices or containerisation (Docker/Kubernetes) Experience with front-end frameworks such as React or Vue The Company This company is a recognised leader in the financial services ...

Playwright) and observability to deliver resilient, maintainable, and production-ready business logic. Drive DevOps excellence by collaborating on CI/CD pipelines (Jenkins, Concourse), containerisation (Docker) and Kubernetes deployments. Mentor and empower fellow engineers through thoughtful code reviews, technical guidance and fostering a culture of collaborative problem-solving. Influence technical ...

Tech Stack 💻 Frontend: React & React Native, TypeScript, HTML, ,CSS Cloud: AWS Other technical skills Experience with microservices CI/CD, DevOps practices & containerisation (Docker/Kubernetes) Some exposure to DDD, TDD orrrrrr a passion for clean, testable code ⭐ Why join? ⭐ A genuinely collaborative, non-hierarchical culture People are trusted ...

brownfield rollout scenarios. Knowledge of software testing methodologies for infrastructure automation. Experience with other programming languages (e.g., Go, PowerShell, Bash). Understanding of containerization and cloud-native patterns. Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: Self-motivated and able to operate independently with ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...