1 to 25 of 44 Docker Jobs in Scotland

infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful ...

backend applications and RESTful APIs using Java and Spring Boot Follow Test Driven Development practices to ensure robust and maintainable code Containerise applications using Docker and work within cloud-based environments Collaborate closely with Frontend, QA and DevOps teams to deliver complete solutions Participate in code reviews, design discussions ...

with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable : Knowledge of emerging technologies ...

Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation, user ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

platforms (e.g., GitHub Actions, GitLab CI, CircleCI). Strong background in SDLC practices and developer productivity tooling. Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi). Familiarity with observability & monitoring (Datadog, Prometheus, or similar). Experience managing or improving monorepo build systems. Strong ...

Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). ...

Behavior-Driven Development (BDD) experience and tooling (e.g., Gherkin, Cucumber, Behave) to express acceptance criteria and drive automated tests Knowledge of performance testing fundamentals Docker and containerized test environments Cloud-based test environments and device/browser farms Experience with test data management and data-driven testing Prior exposure ...

similar Experience with C++, Rust (edge/performance-critical systems) and/or Python, Go, or Java (cloud services) Hands-on experience with Docker, Kubernetes, and event-driven architectures Experience working with time-series and relational databases (e.g. InfluxDB, TimescaleDB, PostgreSQL) Cloud deployment experience on AWS, Azure ...

deploying and monitoring AI systems in production. Orchestration: Workflow engines, event-driven architectures, multi-agent coordination systems. Cloud & infra: Azure or AWS, containerised services (Docker/Kubernetes), CI/CD pipelines and modern DevOps practices. Platform integrations: Connecting agentic AI to third-party tax/finance systems and APIs within ...

object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset: You naturally take responsibility for outcomes, not just ...

Cloud: AWS (primary) Test Frameworks: Serenity BDD (Selenium + RestAssured), Playwright, Other tools: Spring Cloud Contract, Pactflow, Kafka, Mongodb, Browserstack DevOps: Gitlab, GitHub , Jenkins, Docker Performance testing – Gatling, K6 Observability and Monitoring – Splunk, Grafana, Prometheus. ...

which matches their expectation for technical leadership. Where you might want to strengthen your profile: Containerization & GitOps: If you haven't worked extensively with Docker/Kubernetes or GitOps workflows, brushing up on these would be valuable. AI in DevOps: They mention AI-enhanced DevOps practices- your experience with automation ...

Cloud-native architecture (AWS/Azure) Microservices and event-driven systems REST APIs and integration patterns Distributed systems SQL and NoSQL data stores Containerisation (Docker/Kubernetes) Infrastructure as Code and modern DevOps practices You don't need to tick every box — depth and judgement matter more than buzzwords. Working ...

relational databases (PostgreSQL, MySQL, or similar) Understanding of authentication and authorization (OAuth2, JWT) Familiarity with cloud environments (Azure is a plus) Comfortable using Git, Docker, and the Linux command line Basic knowledge of DevOps practices and CI/CD pipelines Good English communication skills Strong affinity for URC's mission ...

orientated architecture. Strong problem-solving and debugging skills across the stack. Desirable Practical use of Git based Source Control. Experience with GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ ...

with FreeRTOS, RTEMS or other RTOS platforms Embedded Linux/Yocto/systemd/BusyBox Python, Java or automation scripting CI/CD pipelines, Docker, GitLab or DevOps tooling Spacecraft, robotics, aerospace, automotive or safety-critical environments Why this role stands out Your team's code flies in space ...

with Azure and cloud-based development Familiarity with databases such as MS SQL o MongoDB Experience working with RESTful APIs and JSON Exposure to Docker and Kubernetes Previous experience in payments or financial integrations would be an advantage If you’re passionate about technology, enjoy solving complex problems, and want ...

work with Azure and cloud-based development Familiarity with databases such as MS SQL o MongoDB Experience working with RESTful APIsand JSON Exposure to Docker and Kubernetes Previous experience in paymentsor financial integrations would be an advantage If youre passionate about technology, enjoy solving complex problems, and want to work ...

production readiness • Collaborating with engineers, product and design teams It would be great if you also have experience with • CI and CD pipelines • Docker or container based deployments • Contributing to architectural discussions on scaling systems These are not essential but nice to have. What You Will Get • The chance ...

authorization Unit testing tools experience (xunit, nunit, karma & jasmine or Jest) Good to have skills: Candidates with experience in Wealth Management domain preferred Docker Azure DevOps (CI/CD pipelines) Agile practices (Scrum/Kanban ...

databases AWS experience Experience with CI/CD tools (e.g., Github) Nice to Have Experience with microservices architecture Familiarity with RESTful APIs Exposure to Docker or Kubernetes Experience with React or Native App development If you're excited about working in a fast-paced, collaborative environment and want ...

Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details £650–£750 per day (Outside IR35) Initial 6-month contract, with strong ...

proven track record in leading product development or technical strategy Expertise in Spring Boot, REST APIs and microservice architecture Familiarity with containerised environments using Docker and modern CI/CD tools Strong understanding of TDD and modern development practices The ability to influence, guide and communicate effectively across teams ...

modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience in Docker for Production deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud ...