1,226 to 1,250 of 2,652 Permanent Containerisation Jobs

eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor ...

technical and solution architecture design Modern open-source technologies Cloud platforms (AWS preferred) Security principles and best practice IAM, OAuth, Cognito, OIDC (highly beneficial) Containerisation and orchestration (Docker, Kubernetes) DevOps/DevSecOps tooling and methodologies Proficiency in multiple programming languages such as JavaScript, Java, and Python ...

designing, implementing, and managing DevOps pipelines and automation tools within AWS environments. Strong experience with infrastructure as code (IaC), CI/CD pipelines, and containerisation technologies. Deep understanding of deployment strategies, ensuring solutions are repeatable, scalable and resilient. Ability to identify process optimisation opportunities and lead their implementation. Proficiency ...

such as Playwright or Cypress. Solid understanding of CI/CD pipelines and tools (GitHub Actions, Jenkins). Familiarity with microservices, cloud environments, and containerisation (Docker, Kubernetes). Excellent communication, collaboration, and a continuous improvement mindset. Additional information Hybrid working – 3 days in a vibrant Edinburgh city centre office. Competitive ...

such as Playwright or Cypress. Solid understanding of CI/CD pipelines and tools (GitHub Actions, Jenkins). Familiarity with microservices, cloud environments, and containerisation (Docker, Kubernetes). Excellent communication, collaboration, and a continuous improvement mindset. Additional information Hybrid working – 3 days in a vibrant Edinburgh city centre office. Competitive ...

such as Playwright or Cypress. Solid understanding of CI/CD pipelines and tools (GitHub Actions, Jenkins). Familiarity with microservices, cloud environments, and containerisation (Docker, Kubernetes). Excellent communication, collaboration, and a continuous improvement mindset. Additional information Hybrid working – 3 days in a vibrant Edinburgh city centre office. Competitive ...

such as Playwright or Cypress. Solid understanding of CI/CD pipelines and tools (GitHub Actions, Jenkins). Familiarity with microservices, cloud environments, and containerisation (Docker, Kubernetes). Excellent communication, collaboration, and a continuous improvement mindset. Additional information Hybrid working – 3 days in a vibrant Edinburgh city centre office. Competitive ...

Excellent communication and collaboration skills Preferred Qualifications: AWS Certified Solutions Architect or equivalent certification Experience with platform engineering concepts and automation frameworks Familiarity with containerization and orchestration technologies (bonus) If you are available and interested in this opportunity, please apply for further information. Please note due to high volumes ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...

directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding of data governance, lineage and compliance Comfortable working independently and making technical decisions This is not a BI or stakeholder reporting ...