Azure Engineer

Hybrid Azure & AWS Engineer (C# / Java, Python, GenAI)

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.

Hybrid/Remote options may be available.

Requires collaboration with cross-functional 2:00 PM to 11:00 PM IST (to overlap with US hours).