RQ09883 Sr. Software Developer Full Stack

RQ09883 - Sr. Software Developer - Full Stack

Contract 4 months possible year extension

Toronto - 5700 Yonge St. - Onsite

- From October 20 2025 the candidate is required to work onsite 4 days a week and 1 day from home

- From January 5 2026 the candidate is required to work onsite 5 days a week fully

Security Level: CRJMC

Responsibilities:

• Design develop and optimize cloud-native microservices using Angular Spring Boot and AI-driven framework
• Translate technical specifications into functional tested applications with detailed programming standards.
• Troubleshoot and resolve technical issues during software implementation migration upgrades and operations.
• Collaborate across teams throughout the Software Development Life Cycle (SDLC) to ensure high-quality solutions.
• Apply AI-driven static code analysis to identify and resolve potential issues early in the development cycle.
• Leverage machine learning natural language processing and data analytics techniques to enhance automation system intelligence and user experience.

General Skills:

• Strong programming and analytical skills with experience in structured software development methodologies.
• Ability to develop test debug and document applications while following industry best practices.
• Experience with Spring Boot and Angular upgrade
• Experience working with relational and NoSQL databases and optimizing queries.
• Strong problem-solving decision-making and communication skills.
• Ability to work collaboratively in fast-paced deadline-driven environments.
• Proficiency in using AI-driven tools for code generation documentation and analytics to streamline development workflows.

Must-Haves:

• Proficiency in Angular React (front-end) and Spring Boot (back-end).
• Experience designing reusable components and scalable backend services.
• Strong knowledge of REST APIs UX/UI principles and system integration.
• Expertise in cloud-based solutions DevOps CI/CD pipelines and microservices architecture.
• Ability to troubleshoot optimize performance and ensure security compliance.
• AI/ML framework experience- integration and leveraging AI/ML systems to improve scalability automation and user experience.

Desirable Skills:

• Experience with middleware API gateways and authentication frameworks (OAuth JWT).
• Familiarity with rapid application development (RAD) methodologies.
• Knowledge of Accessibility for Ontarians with Disabilities Act (AODA) compliance.
• Experience with system documentation and conducting design walkthroughs.
• Embed AI tools to enhance accessibility security and rapid prototyping through intelligent automation.
• Experience applying AI technologies for accessibility validation intelligent automation and rapid prototyping.