9 of 9 Permanent Amazon EKS Jobs in the North of England

tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure-as-Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other ...

work effectively in cross-functional teams. What Would Make You Stand Out: Modern engineering practices and DevOps prowess – Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with microservices and cloud-native architecture AI adoption leadership – Experience ...

emotional intelligence to navigate organizational dynamics What Would Make You Stand Out: Modern engineering practices and DevOps prowess – Experience with Docker, Kubernetes/EKS, GitHub, CI/CD pipelines, and hands-on cloud expertise with microservices and cloud-native architecture AI curiosity and exploration mindset – Genuine interest ...

build, and the kind of talent you attract Deep cloud-native expertise — hands-on mastery of AWS and/or Azure, Docker, Kubernetes/EKS, microservices architecture, and sophisticated CI/CD and deployment pipelines for large-scale application delivery Generative AI and intelligent systems experience — hands-on experience ...

them in production. Skills: Java and Spring Boot TypeScript (Vue or React) REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good too – up to £82k plus benefits including remote working. ...

deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good too – up to £100k plus benefits including remote working. ...

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 and influence – Track ...

networking (VNETs/VPCs, routing, DNS, load balancing, firewalls). Deep knowledge of infrastructure-as-code and automation tooling. Experience with container platforms (AKS, EKS, GKE, Kubernetes) and serverless architectures. Strong background in identity and access management (Azure AD, IAM, RBAC). Proven experience building scalable, resilient, and secure ...

/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI ...