1 to 25 of 55 Docker Jobs in Gloucester

such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with More ❯

to the ongoing enhancement of national security platforms. Key Technologies & Skills Java (primary language) plus exposure to JavaScript or Python Cloud platforms : AWS or Azure DevOps tooling : Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases : SQL, MongoDB, Elasticsearch Agile delivery and CI/CD pipelines Experience working in secure or regulated environments What We're Looking For Proven software engineering experience at More ❯

you with them 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 Applicants will need to be eligible to work in the UK and hold an active eDV UK More ❯

Data Engineering - experience of one or more: Apache ecosystem, SQL, Python. Web - HTML, CSS, JavaScript, XML, SOAP. Experience with Secure DevSecOps within an Agile/SAFe environment. Containerisation & Orchestration - Docker, Podman, Kubernetes, Rancher etc. Software development capability. Any form of prior development expertise would be beneficial, but the eagerness and desire to learn new technologies would be preferable. Security Clearance More ❯

using tools like AWS Cloudwatch, Datadog, Prometheus, Grafana, or pgBadger. Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitLab CI, Cloudbees, Jenkins, GitHub Actions), containerization with Docker, and monitoring/logging tools. Demonstrated experience in leading software development teams, fostering a collaborative and high-performance culture, and effectively representing the team's technical vision and needs to More ❯

such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose Infrastructure as Code (IaC): Exposure to tools like Terraform Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar CI/CD: Experience with More ❯

enterprise scale Strong background in system administration (Linux/Windows), cloud networking, and IPv4 Expertise in Infrastructure as Code using Terraform , AWS CDK , or CloudFormation Experience with containerised environments (Docker, Kubernetes) Strong written and verbal communication skills, especially in secure environments Experience implementing CI/CD pipelines and DevOps practices Familiarity with Ansible, Puppet, Jira, Confluence, and Agile delivery methodologies More ❯

Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile environments and drive data strategies. Security & Compliance: Awareness of cloud security practices and data legislation. Team Leadership & Project Management: Proven leadership in More ❯

of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud deployment workflows. Agile & Collaboration: Ability to work in an agile environment and drive cloud-first data strategies. Security & Compliance: Awareness of cloud security best practices and data More ❯

of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud deployment workflows. Agile & Collaboration: Ability to work in an agile environment and drive cloud-first data strategies. Security & Compliance: Awareness of cloud security best practices and data More ❯

Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in setting up and maintaining More ❯

API Experience working with databases and good understanding of Entity Framework Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins), containerization with Docker, and monitoring/logging tools Demonstrated experience in leading software development teams, fostering a collaborative and high-performance culture, and effectively representing the team's technical vision and needs to More ❯

impact mission outcomes What You Need: Hands-on experience with Linux/Windows systems, CI/CD pipelines, and infrastructure automation Strong understanding of cloud environments (especially AWS), containers (Docker/Kubernetes), and infrastructure-as-code Proficiency with testing frameworks and tools such as Jira, Confluence, Git, and automated test suites Background in Agile methodologies and test-driven development Relevant More ❯

GIT/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 More ❯

Knowledge of Scala and functional programming Knowledge of AWS services and infrastructure monitoring Experience working with AWS Lambda functions Experience working with microservices/micro frontends Experience working with Docker/ECS Experience with Netty and Akka or other non-blocking, multi-threaded IO libraries Experience working with Jenkins/Bitbucket Pipelines Experience in deployment and maintenance of Linux based More ❯

in this role • Windows and/or Redhat Linux server administration • Expertise in configuration and automation tools such as Ansible, Puppet, and Foreman • Familiarity with container technologies such as Docker and Kubernetes • Command over virtualization technologies including VMware, Hyper-V, and OpenShift • Sound grasps of network fundamentals encompassing DNS, DHCP, TCP/IP, routing, switching, and HTTP • Knowledge of Azure More ❯

with RESTful/SOAP API design, development, optimization, testing, and security Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins), containerization with Docker, and monitoring/logging tools Expertise in implementation of automated functional tests using Python Understanding of software testing concepts and methodologies, including unit testing, component testing, and integration testing (covering More ❯

impact mission outcomes What You Need: Hands-on experience with Linux/Windows systems, CI/CD pipelines, and infrastructure automation Strong understanding of cloud environments (especially AWS), containers (Docker/Kubernetes), and infrastructure-as-code Proficiency with testing frameworks and tools such as Jira, Confluence, Git, and automated test suites Background in Agile methodologies and test-driven development Relevant More ❯

impact mission outcomes What You Need: Hands-on experience with Linux/Windows systems, CI/CD pipelines, and infrastructure automation Strong understanding of cloud environments (especially AWS), containers (Docker/Kubernetes), and infrastructure-as-code Proficiency with testing frameworks and tools such as Jira, Confluence, Git, and automated test suites Background in Agile methodologies and test-driven development Relevant More ❯

in a SRE/DevOps environment, utilising pipeline tools such as Jenkins or Gitlab for CI/CD Experience deploying rollouts with containerisation technologies such as Kubernetes, Helm or Docker Exposure to Infrastructure as Code technologies (IaC) such as Ansible or Terraform Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and More ❯

Hands-on experience with cloud 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 More ❯

AWS, Azure, Google Cloud, VMware, etc.). Hands-on experience with virtualization, storage, networking, and security solutions. Proficiency in automation tools (Terraform, Ansible, PowerShell, etc.). Knowledge of containerization (Docker, Kubernetes) and DevOps methodologies. Strong understanding of Active Directory, Identity & Access Management, and IT security best practices. Experience in troubleshooting infrastructure and system performance issues. Ability to manage projects and More ❯

Azure DevOps. Integrate automated builds, tests, and deployments to enable frequent and reliable releases. Container Orchestration and Management: Utilize Kubernetes to deploy, manage, and scale containerized applications. Work with Docker and Azure Container Registry (ACR) to create and manage container images efficiently. Monitoring and Performance Management: Implement monitoring solutions using Prometheus and Grafana to track system performance, application health, and More ❯

Puppet, Chef, Ansible etc. Experience in building and deploying large-scale applications in Continuous Integration/Delivery pipelines; Container platform and orchestration systems ECS, AKS, Kubernetes/helm/Docker Experience in automation and integration tools such as Jenkins, Concourse CI or cloud equivalents Experience in scripting languages and source control Competitive Benefits and Work Culture Benefits Competitive salaries. More ❯

/Areas of expertise required: DevSecOps environments - 'Zero Trust' Architecture Deploying & operating infrastructure/applications on AWS CI/CD & IaC - Terraform/Ansible Cloud orchestration & containerisation - Kubernetes/Docker Role Responsibilities: Lead the development and implementation of secure cloud environments. Build automated deployments using configuration management technology. Test, deploy & build cloud-based infrastructure and applications using CI/CD More ❯