6 of 6 AWS CDK Jobs in Cambridge

AWS Solution Architect

Location
Cambridge, England, United Kingdom
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 ...

Cloud DevOps Engineer (AWS, Terraform, K8s, Automation)

Location
Cambridge, England, United Kingdom
Regular (PERM) Remote Work Available: No Job Description About the Role We are hiring a Cloud DevOps Engineer to build and operate our AWS infrastructure, improve deployment workflows, and automate day-to-day operations. This role is hands-on, focused on AWS, Terraform, K8s, and automation. … scripts/tools (Python/Go/Bash/PowerShell). Understanding of SDLC and microservices deployment patterns. Nice to Have: AWS CDK (TypeScript/Python)/CloudFormation. Jenkins. Experience with Lambda, OpenSearch, Redis, AMQ, MySQL, FSx. Strong AWS networking/security experience (Transit Gateway ...

Senior AI Platform Engineer, MLOps & Scale

Location
Cambridge, England, United Kingdom
that can withstand customer and regulatory scrutiny. Contribute to the infrastructure-as-code and deployment automation for the AI platform (CloudFormation, AWS CDK), partnering with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute allocation. Own production readiness … extensible. Solid working knowledge of AWS and containerized workloads (e.g., Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation. Experience defining observability and SLI/SLO/SLA practice for production ...

Platform Software Engineer

Location
Cambridge, England, United Kingdom
have built and shipped production‐grade images, not just run them locally Cloud deployment and Infrastructure‐as‐Code: you have worked with AWS and understand the tooling Application security: you understand trust boundaries, identity models, and secrets handling CI/CD pipelines: you have built and maintained them … Claude Code, Cursor) as the primary development workflow AWS today, with Azure and Google Cloud planned Infrastructure as code: AWS CDK and CloudFormation CI/CD with CircleCI and internal developer tooling Docker and production image pipelines Deployment tooling for Windows and Linux, including desktop ...

Senior Software Platform Engineer, MLOps

Location
Cambridge, England, United Kingdom
artifacts, with an audit trail that holds up to customer and regulatory review. Write infrastructure-as-code and deployment automation (CloudFormation, AWS CDK) for the services you own, working with the team that owns production deployments to support multi-tenant infrastructure, online upgrades, and on-demand compute. … extensible. Working knowledge of AWS and containerized workloads (for example Docker), and familiarity with infrastructure-as-code such as CloudFormation or CDK, with the ability to contribute to CI/CD pipelines and deployment automation. Experience with observability and SLI/SLO practice for production systems, including ...

Quotient: Senior Engineer, Data Infrastructure

Location
Cambridge, England, United Kingdom
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 ...