826 to 850 of 2,665 Docker Jobs in the UK

Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc. Proficient in latency measurement and performance optimization of Java based platforms ...

hints) and JavaScript/TypeScript (full-stack development) RAG implementation experience built retrieval-augmented generation systems with vector databases MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management Exceptional communication ...

Code, automation and platform engineering practices. Experience implementing CI/CD pipelines and DevSecOps methodologies. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience designing secure, API-driven architectures and integrating enterprise security controls. Hands‐on experience with AI engineering platforms, large language models, orchestration frameworks ...

C#/.NET, SPython FastAPI/Django, TypeScript, Angular, Vue.js, PostgreSQL, MongoDB, Redis/Valkey, RabbitMQ, Kafka, Azure, S3-compatible storage, Talend, NiFi, Docker, Podman, Kubernetes, Power Platform, and Office document automation tools such as Aspose. ð Join Assystem and play a key role in delivering enterprise-wide digital transformation ...

experience in modern DevOps and platform engineering technologies. Highly desirable skills include:Linux administration and scriptingCI/CD methodologies and pipeline designKubernetes and Docker for containerisation and orchestrationJFrog Platform (Artifactory/XRay) for artifact and dependency managementGitLab for source control and CIAnsible for configuration management and automationPython for scripting ...

Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing engines ...

experience in modern DevOps and platform engineering technologies. Highly desirable skills include:Linux administration and scriptingCI/CD methodologies and pipeline designKubernetes and Docker for containerisation and orchestrationJFrog Platform (Artifactory/XRay) for artifact and dependency managementGitLab for source control and CIAnsible for configuration management and automationPython for scripting ...

cloud deployment). ML experience is a plus but not required. Nice to have: Experience with cloud deployment (Azure/AWS/GCP), containerization (Docker), frontend frameworks (React), CI/CD environments, and interest in agentic systems, LLMs, or workflow automationDemonstrated experience working collaboratively with other developers, as well ...

hyper-converged infrastructure Automation of VCF lifecycle (patching, upgrades, deployment) Integration with enterprise identity and security services (AD, PKI, PAM) Containerisation platforms (Kubernetes, Docker) This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. ...

presenting complex technical concepts clearly. Experience working with multidisciplinary agile delivery teams. Desirable Skills Experience with Azure or AWS‐hosted services. Experience with Kubernetes, Docker or containerised service delivery. Knowledge of PostgreSQL or other relational databases. Experience with Kafka, Azure Service Bus or similar messaging technologies. Familiarity with HMCTS ...

with engineers, stakeholders, and architects Experience mentoring or technically guiding other engineers Nice to have Experience with AWS Lambda, ECS, and EC2 Experience with Docker and container‐based development Experience with infrastructure‐as‐code and environment automation Familiarity with DevOps practices and infrastructure‐aware development Experience with messaging, event streaming ...

team. Nice to have Prior experience in a business-critical/high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed, asynchronous microservices using message brokers (e.g., Azure ...

engineers own what they ship: every service running in production is the direct responsibility of the team behind it. Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like working together ...

Front Office Risk calculations, especially for Credit productsExperience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etcProficient in latency measurement and performance optimization of Java based platforms with focus ...

engineers own what they ship: every service running in production is the direct responsibility of the team behind it.ð Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlinð You should apply if you:have strong demonstrable experience and passion for backend developmentlike working together in multidisciplinary ...

infrastructure-as-code tool, including the ability to read infrastructure definitions and understand how configuration changes affect system behaviour and test coverage.Experience working with Docker and Kubernetes.Why Join Us Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career ...

Snowflake Cortex AI and Snowpark* Strong software engineering skills including: + Python + CI/CD pipelines + GitHub Actions + Azure DevOps + Docker + Kubernetes* Experience working with APIs and integrating external AI services.* Ability to engage, influence and build strong relationships with both technical and non-technical ...

Snowflake Cortex AI and Snowpark* Strong software engineering skills including: + Python + CI/CD pipelines + GitHub Actions + Azure DevOps + Docker + Kubernetes* Experience working with APIs and integrating external AI services.* Ability to engage, influence and build strong relationships with both technical and non-technical ...

process automation, and familiarity with BPMN 2.0 for designing workflows. Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI) and containerisation technologies (e.g., Docker, Kubernetes). Knowledge of unit testing and integration testing frameworks (e.g., JUnit, Mockito, Jest, React Testing Library). This role will be based in Glasgow. ...

infrastructure tools or observability stacks (e.g. Grafana, Prometheus, EFK) Confidence in working with cloud-native platforms and tools (e.g. Kubernetes, Terraform, AWS/GCP, Docker) Excellent communication skills under pressure, being able to influence across client, product and engineering boundaries Demonstrated ability to lead without authority; especially in escalations, cross ...

Vertex AI and Cloud Run Snowflake Cortex AI and Snowpark Strong software engineering skills including: Python CI/CD pipelines GitHub Actions Azure DevOps Docker Kubernetes Experience working with APIs and integrating external AI services. Ability to engage, influence and build strong relationships with both technical and non-technical stakeholders. ...

designing observability for serverless systems (logs/metrics/traces) and implementing distributed tracing and dashboards using open standards and AWS tooling. Containerisation experience (Docker) and familiarity with custom SageMaker containers. Familiarity with monitoring, alerting, and incident response for ML platforms. Infrastructure-as-Code (Terraform, CloudFormation, or CDK). Desirable ...

designing, developing and deploying performant APIs Experience with DevOps tooling: Git, CI/CD, package repositories, credentials stores Knowledge of container technologies such as Docker Exposure to complex financial data Extraction of data from semi‐structured sources such as PDFs Knowledge of web‐scraping frameworks and design patterns Why Fideres ...

SLURM) Experience in the use of scientific software compilation and deployment systems (e.g. Spack, EasyBuild, Lmod, conda) Virtualisation and containerisation deployment and management (e.g. Docker, Singularity) Ability to work closely with multidisciplinary research teams, understand scientific computing needs, and deliver practical services that advance scientific goals Knowledge of scripting (e.g. ...

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 a console. Strong software ...