6 of 6 DynamoDB Jobs in Scotland

troubleshooting cloud-based applications. Designing solutions for reliability, scalability and cost efficiency. Desirable technical skills Experience with additional AWS services such as API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, CloudWatch and IAM. Experience withInfrastructure as Code, particularly AWS CDK, CloudFormation or Terraform. Experience with Node.js and the wider TypeScript ...

improve quality Requirements What We’re Looking For Must Have Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience ...

workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora) in a production environmentDeep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public ...

workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora) in a production environment Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across ...

Protobuf/gRPC schema and debugging gRPC transport Other relevant skills OPA/Rego policy implementation, even from K8s admission control Distributed storage: Redis, DynamoDB (TTL, replication, failover consistency) Identity platform experience: ForgeRock, Okta, Ping, Auth0 Kafka/event-streaming: producing/consuming events, setting up topics/consumers ...

compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads Collaborate with client engineering and product teams to translate requirements into agent architectures, contributing … chunking strategy, vector store configuration, and retrieval evaluation Python — strong, applied proficiency in an AWS and AI context AWS infrastructure — working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends Observability — experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred) LLM integration — prompt ...