5 of 5 AWS CDK Jobs in Cambridge

Implement event sourcing, CQRS, and saga orchestration patterns where appropriate. Govern event-driven data flows across bounded contexts and third-party integrations. Design AWS infrastructure using EKS, Lambda, ECS/Fargate, RDS, DynamoDB, S3, CloudFront, and VPC networking. Define Infrastructure as Code (IaC) standards using Terraform and/… Kafka, SQS/SNS, EventBridge, Kinesis Serverless-first architecture and Lambda-optimised design patterns Infrastructure as Code: Terraform and/or AWS CDK Multi-cloud or hybrid cloud architecture exposure FinOps tooling: AWS Cost Explorer, Kubecost, CloudHealth CI/CD pipelines and DevOps culture ...

Required Skills AWS Solution Architect IaC REST GraphQL DDD KAfka SQQS SNS DynamoDB IAM KMS WAF CDK Terraform Kinesis Job Summary Solution Architect AWS | Microservices & Event-Driven Architecture Cambridge - Hybrid - 2 days The Opportunity We're looking for an experienced Solution Architect to design … infrastructure across EKS, Lambda, ECS/Fargate, RDS, DynamoDB, S3, CloudFront and VPC networking, define IaC standards (Terraform and/or AWS CDK), and lead cloud migration and modernisation from on-premise to AWS. Partner with engineering leads, product managers and C-suite to align technical strategy ...

data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists … both technical and scientific stakeholders. Desirable Experience Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow ...

data and AI infrastructure underpinning our genomics-first drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists … clearly to both technical and scientific stakeholders. Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow ...

rather than only for exceptions. Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch). AWS fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker … comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code (AWS CDK or Terraform) and Docker. Experience we're looking for We care more about what you've owned than years on a CV. ...