Aws With Genai Engineer (python, Genai, Aws Cloud) @ Gainwell Technologies

We are seeking a highly skilled AWS with GenAI Engineer with strong expertise in Python development, AWS cloud services, Infrastructure as Code (Terraform), and Generative AI technologies. This role involves designing, deploying, and maintaining AWS-based product demo environments, integrating GenAI pipelines, and implementing automation for reliability and scalability. The position is strictly focused on application development and does not involve handling Protected Health Information (PHI), Personally Identifiable Information (PII), or any confidential client data.

• Architect and maintain AWS demo environments using services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
• Develop Python-based solutions leveraging libraries like NumPy, Pandas, Scikit-learn, and others for data processing and automation.
• Build and manage Terraform modules for automated provisioning, environment resets, and decommissioning.
• Integrate AWS GenAI services (Bedrock, SageMaker) for real-time demo enrichment and scenario automation.
• Collaborate with Demo COE and Product SMEs to design and implement custom demo flows.
• Implement RBAC, feature toggles, and configuration management using AWS Systems Manager and AppConfig.
• Ensure environmental health through automated monitoring, alerting, and load testing (CloudWatch, ALB, X-Ray).
• Support automated QA gates, metrics collection, and post-demo knowledge management.
• Provide secondary support for data engineering tasks (AWS Glue, Redshift, Athena) for ingestion and transformation.
• Contribute to hybrid cloud demos and integrations with Azure as needed.

• 5+ years of experience in AWS engineering and Python development.
• Strong proficiency in Terraform for AWS Infrastructure as Code.
• Hands-on experience with GenAI or ML services (Bedrock, SageMaker, Lambda).
• Familiarity with CI/CD pipelines, containerization (Docker), and orchestration (ECS/Fargate).
• AWS Certification (Solutions Architect, DevOps Engineer, or equivalent) preferred.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

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