9 of 9 DemandTrendPermanent Kubernetes Jobs in Hertfordshire

applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust CI/CD pipelines More ❯

applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust CI/CD pipelines More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯

of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data science. Support model evaluation, logging, and performance tuning across GPU-based environments. Collaborate More ❯

and enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

and enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. Location/WFH More ❯

S3, IAM, and networking. Strong knowledge of CI/CD pipelines and automation tooling (Gitlab experience preferable). Experience with "infrastructure as code" (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident conducting peer code reviews … and providing constructive technical feedback. Desirables: Experience designing solutions in multi-cloud or hybrid-cloud environments. Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with More ❯

S3, IAM, and networking. Strong knowledge of CI/CD pipelines and automation tooling (Gitlab experience preferable). Experience with 'infrastructure as code' (Terraform, CloudFormation), containerisation (Docker), and orchestration (Kubernetes). Proficiency with observability and monitoring solutions (e.g., CloudWatch, Prometheus, Grafana, Splunk). Strong understanding of cloud-native development practices and agile ways of working. Confident conducting peer code reviews … and providing constructive technical feedback. Desirables: Experience designing solutions in multi-cloud or hybrid-cloud environments. Advanced knowledge of Kubernetes networking and service mesh technologies (e.g., Istio, Calico). Exposure to Kafka and its ecosystem (Kafka Connect, ksqlDB). Expertise in debugging complex distributed systems. Familiarity with relational databases (MySQL, PostgreSQL, Oracle). Benefits: 25 days holiday and increases with More ❯