1,151 to 1,175 of 2,407 Docker Jobs in the UK

integrations Hands-onCICD skills with Git, Jenkins or similar Abilityto ingest, cleanse and structure large, diverse datasets Knowledgeof Terraform or similar IaC tools Experiencewith Docker and Kubernetes is beneficial Exposureto production Generative AI is an advantage Strongcollaboration skills and a proactive attitude At Ageas we offer a wide range ...

Good working knowledge of network configuration in AWS and/or Azure. Good working knowledge of following products: Gitlab CI/CD, Azure DevOps, Docker, Terraform, Bash, Packer, Ansible. Experience using and maintaining Terraform/Ansible scripts for build/deploy of AWS and/or Azure environments. What ...

Science, Mathematics, Engineering, Physics, Statistics, Finance or another quantitative discipline. Databricks, Spark or modern cloud data platforms. SQL and large financial or analytical datasets. Docker Compose, development containers or improving complex local development environments. Azure App Services or similar managed application platforms. LLM evaluation, retrieval-augmented generation and agent frameworks. ...

travel to customer sites. There is no option for home working. Desirable SkillsExperience in additional software engineering technologies such as Javascript, MEAN stack, Jenkins, docker, git, Kubernetes, AWS.Experience in agile project methods. Our PackageCompetitive salaryBT Pension scheme, minimum 5% Employee contribution, BT contribution 10%On-call allowance (Depending on role ...

learning methods. Experience designing, deploying, and operating scalable AI/ML systems in cloud environments, with expertise in containerization and orchestration technologies such as Docker, Kubernetes, and AWS EKS. Ability to translate business requirements into technical strategy and execution. Deep expertise in Python and strong software engineering fundamentals, including automated ...

Must-have requirements Production AWS experience at scale, with hands-on Terraform and Infrastructure as Code. Strong experience managing containerised workloads using ECS and Docker in production environments. Strong experience operating and scaling infrastructure components such as Kafka, Redis and managed relational databases like RDS. Strong understanding of networking, security ...

more of the following: Agentic AI systems and Architecture Graph RAG Traditional RAG Vision Language Models/Computer Vision Audio Processing Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with one of a major cloud platform (preferably AWS, or Azure platform). Knowledge of data governance ...

development experience or keenness to learn Angular, Typescript, JavaScript, HTML/CSS.* Any exposure to application containerisation and orchestration tools such as Docker and Kubernetes would be highly beneficial* Experience working with code repositories such as Git.* Any experience with Cloud technologies such as Azure or Aws will be desirable. ...

need to know all of it on day one. Data and compute: S3, Athena, Spark on EMR, SQLOrchestration and MLOps: Airflow, MLflow, Docker, ECS, Terraform, GitHub Actions for CI/CDModels: foundation models served through Amazon BedrockAgents: LangGraph for orchestration, deployed and run on Amazon Bedrock AgentCore, with ...

following would be beneficial: Modern front-end technologies such as React, Angular or similar; Content management platforms such as Drupal, WordPress or similar; Kubernetes, Docker and cloud-native technologies; Relational and non-relational databases, vector databases, enterprise search or knowledge graphs; Workflow automation and orchestration platforms; Conversational, assistant or agent ...

issues. Comfortable working in Linux environments: SSH, bash scripting, log analysis, and networking fundamentals. Experience with cloud infrastructure (AWS or equivalent), containerised deployments with Docker and Kubernetes, and modern data pipeline tooling. Proficiency in Python or an equivalent scripting language for investigation tooling, automation, and data analysis. Hands-on experience ...

Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable ...

Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable ...

Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable ...

Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable ...

Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background, and a track record of leading teams that have ...

managing personal workstreams, meeting sprint commitments, and producing quality output within agreed timelinesTooling Familiarity: Working knowledge of standard engineering tools including Git, Jira, Jenkins, Docker, Hardhat/Foundry, and relevant observability platformsDevelopment ValueAs a Blockchain Software Developer on the Citi Integrated Digital Assets Platform, you will:Gain hands-on experience ...

APIs and services within production systems. Experience working with cloud‐based infrastructure and technologies, preferably AWS. Understanding of DevOps concepts such as containers (e.g., Docker), orchestration (e.g., Kubernetes), and Infrastructure as Code (e.g., CloudFormation or Terraform). Experience with testing concepts, test tools, and integrating testing and best practices into ...

device types and OEM manufacturers, including Topwise and Telpo Terminal management systems and device observability tooling Java, Spring Boot — backend services and integration layer Docker and Kubernetes Microservices architecture on AWS What we can offer you Culture - We put our people first and prioritise the well‐being of every team ...

Requests.- Experience integrating automated tests into CI/CD workflows using GitLab.- Experience working with systems and test environments hosted in AWS, containerization (Docker/Kubernetes), and database/SQL architecture. - Broad knowledge of functional, integration, API, data, performance, resilience, security, and regression testing, and the ability to select suitable ...

design, including REST and OpenAPI specifications, designing APIs that are scalable, secure, versioned, and extensible. Solid working knowledge of AWS and containerized workloads (e.g., Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation. Experience ...

databases and/or workflow systems used in scientific or data‐intensive software. Essential Experience with Linux and reproducible deployment using containers such as Docker/Apptainer. Essential Knowledge of secure online model‐execution, inference or simulation services, including containerised execution and job orchestration. Desirable Hands‐on knowledge of machine ...

degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership ...

degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership ...

degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment Technical leadership ...