Hybrid Azure & AWS Engineer with GenAI @ Gainwell Technologies

The Hybrid Azure & AWS Engineer is responsible for designing, building, and maintaining both Azure and AWS infrastructure that powers product demo environments. This engineer leverages infrastructure automation (Terraform/Bicep/CloudFormation), and GenAI services across both clouds to deliver highly reliable, reproducible, and secure demo experiences. This individual works closely with cross-functional teams and leads hybrid/multi-cloud demo implementations, ensuring seamless integration and operational excellence. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development & demo and does not include handling or processing of sensitive health information.

   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.

   Minimum 5 years 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.
   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.

Opportunities to travel through your work (0-10%)