1 to 25 of 620 Permanent Docker Jobs in London

Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent problem-solving More ❯

ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data More ❯

platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful delivery. Proficiency in multiple More ❯

tools such as Terraform , Ansible , Puppet , or Chef . Proficiency in one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and More ❯

clearance). Strong Java and Spring Boot development experience. Proven experience delivering full-stack solutions (e.g. React, Angular, or Vue). Good knowledge of microservices , RESTful APIs , and containerisation (Docker/Kubernetes). Experience working with AWS or other cloud environments. Understanding of secure software design and deployment in government or defence contexts. Excellent communication, leadership, and mentoring skills. Desirable More ❯

tools such as Terraform , Ansible , Puppet , or Chef . Proficiency in one or more programming or scripting languages (e.g., Python , Go , React ). Knowledge of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and More ❯

Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). Experience with monitoring/logging tools (Prometheus, Grafana, Splunk, ELK, CloudWatch). Professional level of English (spoken and written), enabling effective communication across international teams. Excellent problem-solving More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working in a financial services or economic data environment. Azure certifications related to data engineering (e.g., Azure Data Engineer Associate). More ❯

and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable Knowledge of emerging technologies like AI Previous, relevant experience More ❯

environments and is able to work collaboratively across multidisciplinary teams. Key Responsibilities Design, build and maintain cloud-native platforms and applications. Develop solutions using containerisation and orchestration technologies (e.g. Docker, Kubernetes, OpenShift). Implement DevOps practices, CI/CD pipelines and infrastructure as code. Ensure solutions meet stringent security, performance and compliance requirements. Collaborate with architects, developers, testers and security More ❯

skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication More ❯

skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication More ❯

skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication More ❯

skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication More ❯

Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or More ❯

Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or More ❯

Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or More ❯

Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS) for container orchestration and deployment. CI/CD & Cloud Environments Continuous Integration/Delivery: Experience with Cloud Native CI/CD solutions or More ❯

IaC) tools like Terraform, Ansible, or similar Experience with databases (SQL, NoSQL) and caching solutions Experience with version control systems like Git Familiarity with containerization and orchestration tools like Docker and Kubernetes Knowledge of CI/CD pipelines and automated testing frameworks Additional Information Benefits package includes: Great compensation package and discretionary bonus plan Core benefits include pension, bupa healthcare More ❯

or SoapUI Experience implementing contract testing solutions (e.g., PACT) Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar Experience testing microservices and containerised applications (e.g., Docker, Kubernetes) Working knowledge of cloud environments (AWS or Azure) Understanding of accessibility testing standards Experience using tools such as Jira and Confluence for documentation and test management More ❯

or SoapUI Experience implementing contract testing solutions (e.g., PACT) Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar Experience testing microservices and containerised applications (e.g., Docker, Kubernetes) Working knowledge of cloud environments (AWS or Azure) Understanding of accessibility testing standards Experience using tools such as Jira and Confluence for documentation and test management More ❯

reliability and performance What You’ll Bring: Strong backend engineering experience, especially in Java and Spring Deep understanding of distributed systems and microservices Hands-on experience with AWS , Kubernetes , Docker , and Terraform Familiarity with CI/CD pipelines and testing best practices Solid SQL and relational database skills Ownership mentality, with strong problem-solving skills and attention to detail Great More ❯