Senior Full Stack Developer

Assignment ID:
RQ09711

Client:
Government of Ontario – Government Services Integration Cluster

Location:
Toronto, ON (Hybrid)

Type:
Contract

Duration:
Initial term with a possible 6-month extension

Position Overview
We are seeking a highly skilled
Senior Full Stack Developer
to design, develop, and deploy modern
cloud-native applications
leveraging
AI/ML capabilities
. The ideal candidate will have deep technical expertise across front-end, back-end, and cloud environments, with strong experience in

,
Python (FastAPI)
,
.NET Core
, and
Azure DevOps
.

This role requires a
self-motivated and detail-oriented professional
passionate about solving complex challenges, improving government digital services, and mentoring junior developers in a collaborative Agile environment.

Key Responsibilities
Software Design & Development

• Translate technical specifications into fully functional and tested applications.
• Design and implement scalable, secure, and maintainable full-stack solutions.
• Develop, test, and deploy data pipelines for extraction, transformation, and loading (ETL).
• Build and integrate REST APIs connecting front-end UI with back-end services.
• Conduct unit testing, debugging, and performance optimization.
• Resolve technical issues and provide implementation and migration support.

Architecture & Documentation

• Contribute to architectural discussions and solution design for cloud-native and microservices environments.
• Prepare system design documentation, deployment guides, and release notes.
• Ensure compliance with OPS, AODA, and ministry standards.

Collaboration & Mentorship

• Collaborate with Product Managers, Business Analysts, and UX/UI Designers across the SDLC.
• Lead by example, coach junior developers, and promote best engineering practices.
• Participate in Agile ceremonies (stand-ups, sprint planning, retrospectives).

Required Technical Skills
Full-Stack Development

• Front-End: Advanced proficiency in (hooks, Context API, functional components) and (SSR, routing).
• Back-End: Strong experience in Python (FastAPI), , Java Spring Boot, and .NET Core / Web API (C#).
• Languages & Frameworks: TypeScript, HTML5, CSS3/SCSS, JavaScript, responsive design, CSS-in-JS.
• UI/UX: Strong understanding of modern UI architecture and testable component design.
• API Development: Deep experience with RESTful APIs, OAuth2.0, and JWT authentication.

Cloud & DevOps

• Proven expertise in Microsoft Azure, including:

• Azure SQL Server (encryption, stored procedures, triggers, query optimization)

• Cosmos DB and Azure Key Vault
• Azure Kubernetes Service (AKS) and Docker
• CI/CD pipelines using Azure DevOps

• Configuration with YAML and ARM templates

• Experience with Git/GitHub and version control best practices.

AI / Machine Learning

• Hands-on experience with TensorFlow and PyTorch for model training and deployment.
• Familiarity with OpenCV for image processing and computer vision.
• Experience with data preparation, model tuning, and evaluation metrics (accuracy, precision, recall).

Architecture & Design

• Knowledge of microservices, serverless, and cloud-based architectures.
• Ability to design reusable, scalable, and high-performance components.
• Strong understanding of web security, scalability, and performance optimization.

General & Interpersonal Skills

• Excellent analytical, problem-solving, and decision-making skills.
• Strong written and verbal communication abilities.
• Ability to collaborate across technical and business teams.
• Proven track record of meeting deadlines in Agile, fast-paced environments.
• Understanding of AODA accessibility standards and documentation best practices.

Must-Have Qualifications

• Advanced proficiency in and Python (FastAPI).
• Experience with , Java Spring Boot, .NET Core, and C#.
• Expertise in Azure DevOps, Docker, Kubernetes, and CI/CD.
• Experience with TensorFlow, PyTorch, and image manipulation (OpenCV).
• Proven experience with microservices, serverless architecture, and RESTful APIs.

Nice to Have

• Experience with microservices architecture and serverless computing.
• Knowledge of security best practices and performance optimization.
• Exposure to DevOps practices and automated testing frameworks.