501 to 525 of 1,606 Docker Jobs in the UK

streaming Gathering testing requirements - developing Feature files and acceptance criteria with business stakeholders and turning them into scripts Extensive back-end testing experience - Linux An understanding of Kafka/Docker(from a QA perspective) Experience working with Jira, Maven Experience with BDD and TDD Automation testing using any of custom test suites - Fitnesse, Selenium and Soap UI Automated performance testing More ❯

AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices, event sourcing, and containerisation (e.g., Docker, Kubernetes). And experience with CICD pipelines, Git flow, and monitoring/logging tools like ELK Advanced experience and understanding of cloud computing technologies in particular as AWS integration with More ❯

framework (e.g. Angular) and related technologies (HTML, CSS) Microservices Architecture: Understanding of microservices principles and experience designing and developing RESTful APIs. Cloud-Native Development: Experience with containerization technologies (e.g. Docker, Kubernetes) Database Technologies: Experience with relational and NoSQL databases. (e.g. Oracle, MongoDB) Testing: Knowledge of testing frameworks and best practices (unit, integration, and end to end testing) Collaboration: Excellent communications More ❯

systems. Strong proficiency in development and architecture of Rust systems. Node.js (JavaScript/TypeScript) and Python are nice to have. Proficient in data-intensive systems. Proven experience with AWS, Docker Experience managing and leading engineering teams, with a focus on fostering collaboration and professional growth. Deep understanding of software engineering best practices, including agile methodologies, DevOps principles, and continuous integration More ❯

problems, helping our customers achieve their goals Someone who has the aspiration to learn new skills and better themselves where possible Knowledge of some cloud engineering such as AWS, Docker, Microservices ect is desirable but not essential The ability to work as part of a team, knowledge share and be involved with our Agile ways of working How we will More ❯

and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or More ❯

of Camunda BPM for workflow orchestration and process automation. Familiarity with BPMN 2.0 for designing workflows Familiarity with CI/CD pipelines (e.g., Jenkins, GitLab CI) and containerization (e.g., Docker, Kubernetes) Knowledge of unit testing and integration testing frameworks (e.g., JUnit, Mockito, Jest, React Testing Library) You may be assessed on the key critical skills relevant for success in role More ❯

async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure-as-Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work More ❯

ingesting high-velocity data. Deep data-engineering expertise across Postgres, Redis, InfluxDB, and ClickHouse-schema design, indexing, and caching for sub-second reads. Experience deploying microservices in production using Docker and Kubernetes. Skilled in setting up observability and alerting pipelines (Prometheus, Grafana), including model drift detection. Experience with real-time ML inference and model serving frameworks (e.g., TorchServe, Triton, BentoML More ❯

You'll ideally hold experience with; Microsoft Azure (or equivalent) cloud infrastructure Microservices What you will gain from the Placement DevOps and Agile methodology and working practices; Programming, Kubernetes, Docker, database and cloud skills; Working on industrial-scale AI and ML projects. Communication and soft skills working in a commercial environment; Experience in the energy sector and digital engineering. At More ❯

experience working in DevOps at a Senior level. Strong experience with Infrastructure as Code technologies (AWS/Azure). Strong experience with containerising applications and maintaining containerised infrastructure (ECS, Docker Swarm, Kubernetes etc). Familiarity with CI/CD systems like Jenkins, GitLabCI, CircleCI etc. Experienced with version control systems like Perforce and git. A knowledge of creating and maintaining More ❯

as code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of scripting and automation with languages like Python, Bash, or PowerShell. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Understanding of cybersecurity principles and experience preparing for audits. Excellent problem-solving skills and the ability to work under pressure during incident response. Strong communication and documentation skills More ❯

Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi More ❯

Experience integrating SAST (e.g. SonarQube), DAST (e.g. OWASP ZAP) and SCA (e.g. Dependabot, Snyk) into pipelines. Infrastructure as Code: Terraform, ARM or Bicep. Container & Cloud Security Knowledge of containerisation (Docker, Kubernetes/AKS) and container security best practices. Experience securing serverless or PaaS workloads in Azure (Functions, App Service). Security Frameworks & Secure by Design Strong understanding of Secure by More ❯

services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) • Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools More ❯

risks. Proficiency in major cloud platforms (e.g., AWS, Azure, GCP), Cloud Security and Data Management practices. Knowledge of DevOps practices and tools, such as CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes), helps in automating and streamlining cloud operations a bonus. Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both technical and More ❯

programming, enterprise integration skills and microservice architecture skills. Extensive experience utilising multiple technologies to support the architectural design and team (e.g. Java, .Net, Node.js, C#, React, Angular, Spring, Kubernetes & Docker and Mobile experience) Love clean code, love helping others achieve it A good understanding of WCAG 2.2 would be preferable Excellent verbal and written English skills. Personal attributes Passionate about More ❯

remediation of Cloud security vulnerabilities. Develop and maintain tools to detect and remove secrets from code check-ins. Establish development best practices for working with code libraries such as docker, pypi and others, ensuring that libraries are only obtained from trusted sources, e.g. Jfrog Artifactory. Assist the Information Assurance team with data leak prevention techniques aimed at preventing the exfiltration More ❯

processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of More ❯

frameworks and tools (e.g. React, Node) Have experience with Machine Learning/Data Science Have previous experience with git, CI and CD tools (e.g. GitLab, TeamCity) Have knowledge of docker, kubernetes, and AWS services Passionate about writing good code YOU WILL ENJOY Regular shut down days, including the festive period UK Private Healthcare Plan with AXA Access to SPILL - instant More ❯

and results Excellent communication, documentation, and cross-team collaboration and contribution skills Experience in financial services or other highly regulated sectors Exposure to hybrid cloud operations, containerization (e.g., Podman, Docker, Tanzu), or cloud-native UNIX alternatives. Familiarity with enterprise CI/CD tooling (Jenkins, GitHub Actions, ServiceNow integration). Relevant certifications (preferred but not required). Working with Us: As More ❯

Node.js, Go, Rust, etc.) Relational and Non-relational databases (e.g. ElasticSearch, Redis, PostgreSQL, etc.) System architecture approaches (e.g. microservices, event sourcing, serverless, CQRS ) Virtualisation and orchestration tools (e.g. VMs, Docker, Kubernetes, etc.) and infrastructure as code (e.g. Terraform, Pulumi) Test automation following Test Driven Development practices including unit testing, API testing, and end-to-end testing Working with lean and More ❯

practices, including CI/CD pipelines, infrastructure as code (IaC), and automated testing Experience with industry-standard monitoring tools (ITRS or similar) Hands-on experience with containerization technologies like Docker and orchestration platforms like Kubernetes Experience working within an ITIL framework, ideally with ITIL Foundation qualification Experience with industry-standard monitoring tools (ITRS or similar) Not The Perfect Fit? Concerned More ❯

access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned More ❯

access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical domains aligned More ❯