About this role
Summary
We are seeking a highly skilled 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
What we're 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.
Your role in our mission
Qualifications:
- <Give Years, 5+ as an example> 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.
Other facts
About Gainwell Technologies LLC
For 50 years, our nation’s federal Medicaid program has worked to improve the health, safety and well-being of America’s most vulnerable populations: low-income families, women and children, seniors, and those with disabilities. With positive health and cost outcomes that pierce inequities and impact economies, the success of these programs is inextricably tied to the prosperity of communities, individual states and the nation as a whole. We think that demands respect and, more importantly, is deserving of a lifetime commitment from innovators who can help those who operate within and around health and human services evolve — in any market at any stage. At Gainwell Technologies, that’s our sole focus.
Built across more than five decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet agencies, health plans and MCOs where they are on their modernization journeys and propel them into the future of public health. Our commitment to innovation, deep experience and ability to leverage insights from customers across 50 states has allowed us to expand on next-generation, cloud-enabled technologies.
Today, Gainwell offers one of the most comprehensive suites of scalable services and solutions on the market — all proven to deliver cost savings, better patient outcomes and an improved provider experience. Equally important to our expanding technologies and results: We bring ideas that bring policies to life.
What you'll do
- The role involves architecting and maintaining AWS demo environments, developing Python-based solutions, and integrating GenAI services for product demonstrations. Additionally, the position requires collaboration with various teams to implement custom demo flows and ensure environmental health through automation.
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