5 of 5 Amazon Aurora Jobs in the UK excluding London

awareness of security considerations in web application deployment Monitoring/Logging aka ELK, Prometheus/Grafana etc Strong AWS knowledge - EC2, EKS, RDS, Aurora, networking, cost management If you'd like to discuss this Senior DevOps Engineer in more detail, please send your updated CV to (url removed

with NuGet package management in CI/CD workflows Proven experience in automating application deployment and configuration management Strong AWS expertise — EC2, EKS, RDS, Aurora, networking, and cost optimisation Proficiency with Infrastructure as Code (IaC) tools such as CDK or Terraform Experience implementing CI/CD pipelines using

office-based or hybrid (3 days per week onsite in Crewe). Key Skills & Experience Essential Strong AWS experience - EC2, EKS, RDS, Aurora, networking, and cost optimisation Confident with building & deploying C#/.NET applications Experience with NuGet package management in CI/CD Infrastructure as Code experience using

Devops Engineer (AWS, C# .Net, IaC) C# .NET, NuGet, AWS, EC2, EKS, RDS, Aurora, laC, TCP/IP, DNS, Docker, Kubernetes, CI/CD workflows, Terraform, CDK Cloudwatch, Prometheus, Grafana, AWS Waf Our client is looking for an experienced Devops Engineer to come in and hit the ground running. … deploying C#.NET applications , proven experience in automation deployment and configuration management. This would suit someone with strong AWS background IaC, EC2, EKS, RDS, Aurora, networking, and cost optimisation. Experience working with containerisation and orchestrations such as Docker/Kubernetes and strong understanding of internet protocols TCP/

data architectures in Cloud Formation, and SAM. Designing and implementing data processing environments and integrations using AWS PaaS such as Glue, EMR, Sagemaker, Redshift, Aurora and Snowflake Building data processing and analytics pipelines as code, using Python, SQL, PySpark, spark, CloudFormation, lambda, step functions, Apache Airflow Monitoring and reporting … Data Engineering role. Strong experience and knowledge of data architectures implemented in AWS using native AWS services such as S3, DataZone, Glue, EMR, Sagemaker, Aurora and Redshift. Experience administrating databases and data platforms Good coding discipline in terms of style, structure, versioning, documentation and unit tests Strong proficiency