INTELLIGENCE APPLICATION DEVELOPER

To transition beta-stage, on premises applications into reliable, production ready systems by designing and executing migrations to scalable cloud platforms that support long term growth and stability. To transform working prototypes into enterprise grade applications by applying cloud-native architecture, security, and performance best practices that enable consistent, dependable operation at scale. To own the full lifecycle from internal proof of concept to business critical solution. To support the Precision Medicine Institute s expanding portfolio of internal applications, including those developed with AI assisted tools, by enabling infrastructure and deployment patterns that the business can confidently depend on., Cloud Migration Deployment: Assess existing on-premise beta applications and architect their migration to cloud platforms, primarily AWS Select the right AWS services for each app’s needs - EC2, RDS, S3, Lambda, ECS, etc. Execute lift-and-shift and re-platforming migrations with minimal disruption to users Scaling Performance Redesign data layers, APIs, and app infrastructure to handle real-world usage loads Implement auto-scaling, load balancing, and redundancy so apps stay healthy under demand Monitor and tune performance and cloud costs as usage grows Backend Data Management: Migrate on-prem databases to managed cloud equivalents (RDS, DynamoDB, Aurora, etc.) Build or refactor data pipelines to function reliably in a cloud environment Establish backup, recovery, and data governance practices fit for production Application Support Maintenance: Serve as the go-to technical resource for keeping deployed apps running Troubleshoot issues across the full stack Infrastructure, backend, and integrations Work alongside AI tools and AI-generated codebases Understanding, hardening, and maintaining them Help define how the organization consistently packages and deploys AI-assisted applications Introduce containerization (Docker/Kubernetes or ECS) to make apps portable and repeatable Document architectures and runbooks so systems are maintainable long-term

Salary Range: $57,940 - $94,150

Bachelor’s degree in a related field and two (2) years of related experience required. Work experience may substitute for education requirement.

Preferred:

3-6 years in software engineering, cloud engineering, or DevOps Proven experience migrating applications from on-premise environments to AWS Strong working knowledge of core AWS services (EC2, S3, RDS, VPC, IAM, Lambda) Solid backend skills in Python, Node.js, or similar Experience with relational and non-relational databases - both managing and migrating them Comfortable working with AI-assisted codebases and reviewing AI-generated code AWS certification (Solutions Architect, Developer, or SysOps) Experience with infrastructure-as-code (Terraform, CloudFormation) Docker and container orchestration experience Familiarity with CI/CD pipelines for automated deployment Prior experience in a fast-moving environment where apps go from prototype to production quickly