6 of 6 AWS KMS Jobs in Scotland

across enterprise AWS environments Configure and deploy AWS security services including GuardDuty, Security Hub, AWS Config, CloudTrail and KMS Secure AWS networking including VPCs, Security Groups and Network ACLs Build and deploy security solutions using Terraform, CloudFormation or AWS … Strong hands-on AWS security implementation experience Experience with AWS IAM, GuardDuty, Security Hub, AWS Config, CloudTrail and KMS Infrastructure as Code using Terraform, CloudFormation or AWS CDK Strong Python scripting skills Experience implementing security within AWS environments Previous ...

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple LocationsCountry: United Kingdom IT STARTS HERE Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation … Data Engineer) (Preferred) Languages English (Preferred) Spanish (Preferred) Hard Skills Practical experience with AWS cloud architecture, including services like S3, IAM, VPC, KMS, CloudWatch, CloudTrail, Glue, Athena, EMR, Lambda, Step Functions, and SageMaker. (Preferred) Skilled in SQL and NoSQL databases for implementing data warehouses and data lakes. ...

infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and Lambda Support Amazon EKS lifecycle operations, including cluster version upgrades, node group and add-on updates, and remediation … maintaining stacks to provision and manage cloud resources Working knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatch Foundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operations Practical experience working with cloud infrastructure ...

infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and LambdaSupport Amazon EKS lifecycle operations, including cluster version upgrades, node group and add-on updates, and remediation with … maintaining stacks to provision and manage cloud resourcesWorking knowledge of core AWS services including EC2/networking (VPC), IAM, RDS, S3, KMS, Secrets Manager, and CloudWatchFoundational experience with Amazon EKS and Kubernetes, including deploying workloads and supporting cluster operationsPractical experience working with cloud infrastructure on AWS ...

data lakes, and data warehouse solutions on AWS. The role focuses on developing high-performance data engineering solutions using PySpark, Spark, Python, and AWS services, enabling secure, reliable, and efficient data processing and analytics across enterprise platforms. Key Responsibilities Design, develop, and maintain scalable batch and real-time … complex data pipelines and ETL/ELT frameworks. Hands-on experience with AWS services including: S3 Glue Lambda Step Functions ECS IAM KMS VPC SageMaker (preferred) Experience with AWS CloudFormation for Infrastructure as Code. Strong understanding of data lakes, data warehouses, and distributed data processing. ...

/CD. • Experience developing or supporting cloud-based services, preferably using AWS. • Experience with infrastructure-as-code and automated software delivery, such as AWS CDK, CloudFormation, or similar technologies. • Experience developing or maintaining data, software, or machine learning-focused pipelines, with … understanding of monitoring, reliability, security, and operational support. DESIRABLE • Experience with AWS services such as SageMaker, S3, EC2, Lambda, IAM, VPC, KMS, or Bedrock. • Experience developing or contributing to scalable architectures for data-driven products or services. • Experience working with MLOps practices or machine learning workflows. • Experience ...