secure coding practices, and risk management. Work with cross-functional teams to architect cloud solutions, ensuring performance, scalability, security, and compliance. Implement cloud-native architecture, microservices, and containerization (Docker, Kubernetes). Deploy and manage Azure Cloud applications, ensuring reliability and efficiency. Implement DevOps practices, cloud storage solutions, and infrastructure automation. Build and maintain RESTful APIs for seamless backend-to-frontend … e.g., AWS Certified Developer, Azure Developer, Google Cloud Professional Cloud Developer). Experience in AI/ML model integration within cloud and medical applications. Familiarity with containerization (Docker/Kubernetes) and serverless computing. Experience working with IoMT (Internet of Medical Things) and connected health applications. Why Join Us? Work on cutting-edge medical technology with real-world healthcare impact. Lead More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
UKRI
cloud infrastructures (AWS and Azure). Develop and engineer cloud security policies, ensuring proactive threat prevention, detection, and forensic analysis. Implement security solutions for containerised environments and microservices (e.g., Kubernetes, Docker). Build and maintain security at every point in the CI/CD pipeline. Build and integrate security solutions into DevSecOps pipelines, collaborating with UKRI teams. Perform cloud threat … Experience in major multi-cloud platforms, including AWS, and cloud security. (S&I) Integrating and maintaining security into CI/CD pipelines. (I) Hands on experience with container security (Kubernetes, ECS, Docker). (S&I) Working with Linux and/or Windows operating systems. (S) Experience working in a blue-team type environment or role. (S) Experience of cloud security More ❯
Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯
Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯
Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯
Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯
Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a strong sense of ownership More ❯
Azure, or GCP and their integration with SAP BTP. Knowledge of DevOps practices, CI/CD pipelines, and automation tools. Experience working with microservices architecture and containerization technologies (Docker, Kubernetes). Why Join Us? Opportunity to work with the latest SAP technologies in a dynamic, innovative environment. Collaborate with a diverse team and drive impactful solutions for leading clients. Competitive More ❯
At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple More ❯
The ideal candidate will have a strong understanding of DevOps and Service Level Management (SLM) metrics, with experience in event-driven infrastructure projects using tools like Terraform, New Relic, Kubernetes, AWS, and Kafka. As a Platform Engineering representative, you will collaborate with engineering teams to ensure our platform infrastructure tooling meets their needs and positively impacts Developer Experience. You will More ❯
Northampton, Northamptonshire, East Midlands, United Kingdom Hybrid / WFH Options
Reed Technology
eye for detail and a problem-solving mindset Strong communicator and self-starter in a remote setup ? Bonus Points For: Experience with other languages/frameworks Familiarity with Docker, Kubernetes, CI/CD pipelines Agile/Scrum experience ?? Perks & Benefits: ?? Competitive salary + bonus scheme ??? Flexible working hours ?? Career growth & learning opportunities ?? Supportive, collaborative team culture ??? Access to the latest More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility. Experience with Docker and container orchestration (e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). More ❯
on the below: Develop and maintain integration architectures across hybrid, on-premise, and multi-cloud environments. You will drive microservices and event-driven architecture design patterns, container orchestration (e.g., Kubernetes, Docker), and cloud-native best practices. Serve as the in-house expert for leading iPaaS solutions (Boomi, SnapLogic, Workato, Azure Integration Services), guiding the design and implementation of integration flows. More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
jobs24.co.uk
have access to a vast array of different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains More ❯
