Aws Engineer (dot Net/java/python, Gen Ai) @ Gainwell Technologies

As a AWS Engineer (Dot Net/Java/Python, Gen AI) at Gainwell, is responsible for end-to-end deployment, configuration, and reliability of AWS-based product demo environments, integrating GenAI pipelines and engineering practices. The role demands deep cloud infrastructure skills (ECS, Lambda, RDS, S3), automation (Terraform). 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 and does not include handling or processing of sensitive health information.

• Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
• Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning.
• Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment.
• Collaborate with Demo COE and Product SMEs to evaluate scenarios, and implement custom flows.
• Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig.
• Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray).
• Support automated QA gates, metrics capture, and post-demo knowledge management.
• Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming
• Contribute to hybrid cloud demos and integrations with Azure as needed

• Minimum 5 years AWS engineering experience, with strong C# or Java development.
• Terraform expertise for AWS IaC.
• Experience with GenAI or ML services (Bedrock, SageMaker, Lambda).
• Professional certification in AWS is preferred

• Fast-paced,challenging and rewarding work environment.
• Work life balance.    
• Remote working environment