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Première détection par notre source: il y a 25 jours

RQ09883 - Sr. Software Developer - Full Stack

@ Source Code

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Toronto, Ontario

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SIGNAUX

En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

AngularReactSpring BootREST APIsCI/CD pipelinesNoSQL databases
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-12
Mise à jour du dossier source
2026-10-12

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Horairejour
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Cote de sécuritéAutre cote

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Source Code

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ChampValeur
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Description

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.

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