Senior Professional Product Developer

Summary

As an Senior Professional Product Developer at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. 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.

What Were Looking For

Key Responsibilities:

• 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.