RQ09883 - Sr. Software Developer - Full Stack

Source Code; Toronto; On-site; CAD 110,000 - 190,000; Full time

Job summary

Source Code in Toronto, Canada, is seeking a Sr. Software Developer - Full Stack to design, develop, and optimize cloud-native microservices using Angular, Spring Boot, and AI-driven frameworks.

The role requires collaborating across teams through the SDLC and applying AI-assisted tooling to improve automation and scalability. From Oct 20, 2025, onsite 4 days a week and 1 day from home; from Jan 5, 2026, onsite 5 days.

Qualifications

• Must-have: 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.

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.

Skills

Angular

React

Spring Boot

REST APIs

DevOps

AI/ML

Job description

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.