RQ09883 - Sr. Software Developer - Full Stack About the job RQ09883 - Sr. Software Developer - Full Stack RQ09883 - Sr. Software Developer - Full Stack
Contract 4+ months, possible year extension
- 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-Have's:
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.
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.
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