About this role
RQ00685 - Sr. Software Developer - Full Stack 6-month contract (126 business days) - possible extension ONSITE 5 days (subject to HM's discretion) - 525 University Avenue Must Haves: • Cloud-Native & Serverless Backend Expertise: Proven experience designing and building highly scalable, serverless backend APIs using AWS (Amazon Web Services) ( Lambda, API Gateway, DynamoDB, and Node.js or Python. • Modern Frontend Development: Hands-on proficiency building secure, responsive, and accessible web applications using modern JavaScript/TypeScript frameworks (e.g., React, Angular, or Vue). • Healthcare Integration & Standards: Practical experience integrating with health informatics standards including HL7 FHIR and SMART on FHIR for secure health data exchange. • Experience with Ontario Assets (such as the Provider Registry, Hospital Report Manager, etc) • Experience with Ontario eReferral systems (such as Ocean, Novari, etc) • Public Sector Experience
Description: The Cancer Screening Project requires the engagement of Sr. Software Developer - Full Stack to support the timely software development, and implementation of secure serverless Application Programming Interfaces (APIs) that will enable the Digital Correspondence solution. These APIs will provide the foundational integration layer required to securely store and manage correspondence records, facilitate the transmission of SMS and email notifications, and enable the Digital Correspondence Portal to retrieve, manage, and present correspondence data in a secure and efficient manner. The development activities involve the implementation of cloud-native serverless architecture, integration with enterprise notification services, application of robust authentication and security controls, and adherence to applicable privacy, security, and information management standards. Responsibilities: • Lead the technical design, development, and implementation of full-stack serverless applications for the Digital Correspondence solution. • Develop and consume RESTful APIs and FHIR resources to securely retrieve, manage, and present correspondence data. • Integrate front-end portals and backend services with AWS cloud messaging services (AWS Pinpoint, AWS End User Messaging) to facilitate SMS and email notification workflows. • Implement robust identity, authentication, and authorization controls (e.g., OAuth 2.0, OIDC, SMART on FHIR). • Write clean, well-documented, testable, and efficient code while conducting rigorous peer code reviews. Desired Skills: • AWS Certified Developer ? Associate or AWS Certified Solutions Architect. • Knowledge of synthetic health data generation and handling complex PHI/PII data securely in cloud environments. • Generative AI & LLM Integration: Experience integrating foundational models into enterprise applications using Amazon Bedrock, including prompt engineering and managing token usage. • Retrieval-Augmented Generation (RAG): Familiarity with building RAG architectures utilizing vector databases (like Amazon OpenSearch Serverless) to securely query unstructured healthcare correspondence or clinical notes. • AI-Assisted Development: Proficiency using AI coding assistants (like GitHub Copilot, Amazon Q Developer, or Cursor) to accelerate the delivery of secure, well-tested code while adhering to enterprise privacy policies. • Healthcare NLP: Experience utilizing natural language processing services (such as Amazon Comprehend Medical) to extract meaningful insights, entities, and relationship