26 to 42 of 42 Docker Jobs in Manchester

data visualisation tools, particularly Power BI, DAX or Tableau Understanding of data architecture, data governance, data quality and secure data management Experience with Git, Docker, Kubernetes and CI/CD practices would be advantageous Strong problem-solving skills, with the ability to work independently and take ownership of technical deliverables ...

work independently, communicate complex technical ideas clearly, collaborate effectively with stakeholders and champion better ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would ...

delivery practices. Understanding of cloud security, infrastructure reliability and scalable architecture. A proactive engineering mindset, comfortable taking ownership and solving complex problems. Desirable experience: Docker, Kubernetes or container orchestration. Exposure to AI/ML infrastructure, LLMs or emerging AI technologies. GitHub Actions, Azure DevOps or similar CI/CD tooling. ...

concepts. A proven track record of developing scalable, highly available and high-performing middle-tier components. Experience with containerisation and technologies such as Docker and Kubernetes. Experience developing, deploying and maintaining cloud-based solutions on AWS. Understanding of the principles behind high-performing web pages and applications. Experience or familiarity ...

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 ...

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 ...

model optimisation. Experience designing and deploying RAG solutions and AI agents. Strong cloud experience, ideally within Google Cloud Platform (GCP). Experience with Docker, Kubernetes and modern MLOps tooling. Proven experience taking AI solutions from concept to production at scale. Strong communication skills with both technical and business stakeholders. Experience ...

supporting production systems at scale. Hands-on cloud infrastructure experience, ideally with AWS. Experience with Terraform or comparable infrastructure-as-code tools. Knowledge of Docker, Kubernetes and CI/CD tooling. A solid understanding of observability and incident management. Strong cloud security knowledge and an understanding of operating within ...

supporting a live service with real users, ideally in the education sector or involving student data. Working knowledge of Django Channels, WebSockets, Redis, Firebase, Docker, GitHub Actions and Microsoft Azure. A relevant professional certification, for example in cloud services, mobile development or machine learning. Essential Skills and Competencies The successful ...

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. ...

acceptance criteria Contributing to data quality validation and test coverage across cloud platforms (Azure, AWS, GCP) Supporting the team with containerised testing environments using Docker and Kubernetes Troubleshooting test failures and providing insights on system behaviour and quality risks What you could bring Most roles of this type require … have Experience with .NET, ASP.NET, Java, Spring Boot or Node.js Exposure to cloud platforms such as Azure, AWS or GCP Knowledge of containerisation (Docker, Kubernetes) Experience with test data management and data pipelines Scripting in Bash or PowerShell Familiarity with Agile and test-driven development practices What roles of this ...

guidance, coaching, and technical leadership to colleagues and clients. Required experience: Strong Cloud Pen testing experience, ideally AWS Exposure to container tools such as Docker and Kubernetes Check Team Lead either active or recent Strong understanding of CyberSecurity Practices Identity and Access Management (IAM) security Experience delivering into the public ...

willingness to ask for help early. Desirable Previous experience in an IT operations, support, DevOps or software role. Hands-on exposure to GCP, Docker or Kubernetes through study or personal projects. GCP Cloud Digital Leader or Associate Cloud Engineer certification, or a commitment to obtain one. Disclaimer: This vacancy ...

need proven experience working with the following: Recent Java development on AWS Building microservices and RESTful APIs Kafka and event-driven architecture Containerisation with Docker Infrastructure as Code (Terraform) and GitLab CI pipelines TDD, BDD and agile delivery Node.js experience would be beneficial, as would familiarity government departments. … clearance; active SC is highly desirable. Interested? Please apply below. Senior Java Developer, Java Engineer, Software Engineer, Java, AWS, Microservices, REST APIs, Kafka, Docker, Terraform, GitLab CI, TDD, BDD, Agile, Glasgow, Newcastle, Leeds, Sheffield, Manchester, Birmingham, Blackpool, Cardiff, Hybrid/Remote, Contract, Inside IR35 ...

maintain Infrastructure as Code (IaC) using tools like Terraform or CloudFormation Build and optimise CI/CD pipelines for continuous delivery Support containerised environments (Docker, Kubernetes) Develop automation scripts (Python, Bash, Shell) Work within cross-functional DevOps/SRE teams to improve system reliability and scalability Apply DevOps best practices … years experience in DevOps/Platform Engineering Hands-on with: AWS , Terraform (or similar IaC tools) and CI/CD tooling Experience with containerisation (Docker, Kubernetes) Scripting experience ( Python, Bash or similar ) Solid understanding of Linux, networking and cloud architecture Experience working in Agile environments Experience with configuration management tools ...

aligning them to business policy and control requirements. Manage the full development lifecycle of IGA artefacts — version-controlled in Git, containerised where appropriate using Docker, and deployed through structured change processes. Operate and administer the IGA programme: account onboarding, entitlement management, role engineering (RBAC), separation of duties, least-privilege enforcement … scripting and automation in an enterprise context; comfortable writing maintainable, reviewable code and working within a Git-based development workflow. Practical experience with Docker for containerising tooling and services; understanding of how containers fit into a modern integration and deployment pipeline. Strong integration experience: designing and implementing API-based (REST ...

Scripting Version Control with Git Software Development Lifecycle (SDLC) Continuous Integration (CI) Continuous Delivery and Continuous Deployment (CD) Infrastructure as Code (IaC) Containerisation with Docker Container Orchestration Cloud Computing Fundamentals Cloud Platforms (AWS, Microsoft Azure and Google Cloud) Configuration Management Monitoring and Logging Security Best Practices (DevSecOps) Networking Fundamentals Automation … work on realistic DevOps projects that may include: Building CI/CD pipelines Deploying applications to cloud environments Creating Infrastructure as Code templates Managing Docker containers Automating software deployment processes Configuring monitoring and logging solutions Implementing basic cloud infrastructure Applying security best practices to deployment pipelines Troubleshooting deployment and infrastructure ...