First seen by our source: 25 days ago
RQ09883 - Sr. Software Developer - Full Stack
@ Source Code
Toronto, Ontario
Overview
Source Code is hiring a Senior Full Stack Software Developer on a 4+ month contract with a possible one-year extension, based at 5700 Yonge St. in Toronto. The role builds cloud-native microservices with Angular, React and Spring Boot, and integrates AI/ML capabilities. Onsite work is required: 4 days a week from October 20, 2025, then fully onsite 5 days a week from January 5, 2026. The posting carries a CRJMC security level.
Responsibilities:
- Design and develop cloud-native microservices with Angular and Spring Boot
- Translate technical specifications into tested, functional applications
- Troubleshoot issues during implementation, migration and upgrades
- Apply AI-driven static code analysis and ML/NLP techniques
Requirements summary:
- Proficiency in Angular, React and Spring Boot
- Experience with cloud, DevOps, CI/CD and microservices
- Experience with AI/ML framework integration
- Experience with relational and NoSQL databases
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Schedule | day |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Security clearance | Other clearance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Source Code
| Field | Value |
|---|---|
| Open jobs on Jobsy | 655 |
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-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.
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.
Journal
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