Your role in our mission :

- Architect, provision, and manage scalable demo environments using key Azure and AWS services, including but not limited to:

- Azure: App Services, AKS, Functions, Storage, Key Vault, Monitor, Log Analytics, Load Testing, Azure DevOps, Azure OpenAI.

- AWS: EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, CloudWatch, AWS Glue, API Gateway, AWS Bedrock/SageMaker.

- Develop and maintain infrastructure as code for both Azure and AWS (Terraform, Bicep, CloudFormation), supporting the complete environment lifecycle (provisioning, resetting, teardown).

- Integrate and operationalize GenAI services (Azure OpenAI, AWS Bedrock/SageMaker) to automate demo scenario enrichment, synthetic data creation, and dynamic storyboard generation.

- Collaborate with the Demo COE, Product SMEs, Infra teams, and Application Configuration specialists for scenario evaluation, enrichment, and orchestration of custom demo flows (UI mocks, third-party integrations).

- Implement and manage RBAC, secrets management, and feature flag administration using cloud-native identity and configuration services (Azure AD, AWS IAM, Azure App Configuration, AWS AppConfig).

- Apply best-in-class cloud monitoring, automated checks, ensuring all environments are audit-ready

- Execute and support automated reliability and load testing leveraging cloud-native tools (Azure Load Testing, Azure Monitor, AWS CloudWatch, AWS X-Ray).

- Drive continual environment improvement based on QA gates, user feedback, and post-demo analytics.

- Serve as a hybrid/multi-cloud subject matter expert, leading integration and troubleshooting for cross-cloud demo flows, and mentoring other engineers in best practices.

What we're looking for :

- Experience designing, deploying, and managing Azure and/or AWS cloud environments at scale.

- Deep hands-on skills in C# or Java for infrastructure automation, scripting, or application integration(Good to have)

- Proven experience with Terraform, Bicep (Azure), and CloudFormation (AWS) for infrastructure as code and environment orchestration.

- Demonstrated expertise with both Azure and AWS AI/GenAI services (OpenAI, Cognitive Services, Bedrock, SageMaker).

- Solid understanding of cloud-native, cost management, and monitoring in both Azure and AWS.

- Experience supporting or leading hybrid or multi-cloud environments, with hands-on troubleshooting across cloud stacks.

- Excellent collaboration, communication, and documentation skills, with proven ability to operate cross-functionally.