Full-Stack Developer

Full-Stack Developer

⬝ In-office, full-time position in Vaughan


⬝ Relevant education only


⬝ Probation period: 3 months


⬝ Salary range depending on experience: CAD$80-100K

About the role

A technology company working with North American SMEs is looking for a full-stack developer to join our team of Zoho solutions and custom software development experts. You'll design, build, test, and deploy custom code into robust, scalable cross-frameworks solutions — understanding how each piece fits the bigger system, not building in isolation. Your work will be boosted by the cutting-edge AI tools.

Main responsibilities

⬝ Translate business requirements into technical designs and code.


⬝ Understand and define solution architecture — application context, dependencies, integration patterns, etc.


⬝ Define data models and solutions data layer


⬝ Integrate custom code with Zoho and other platforms via REST/SOAP APIs.


⬝ Lead solution deployment and CI/CD


⬝ Use AI coding tools effectively. Strong self-education ability is a must.


⬝ Join client calls to clarify requirements directly.


⬝ Consult with PMs, BAs, and other developers rather than building in a silo.


⬝ Provide effort estimates.


⬝ Test, debug, and document all custom development work.


⬝ Provide ongoing technical support to customers and consultants.

Technical

⬝ Solid custom coding experience: frontend, backend and databases.


⬝ Proficient with REST/SOAP APIs integration, JSON.


⬝ In-depth experience with SQL, and relational databases. BI/ETL is an advantage.


⬝ Understands software architecture: scalability, security, dependencies.


⬝ Hands-on experience with Git, version control, coding standards, and documentation practices.


⬝ Proven experience in working with CI/CD pipelines and deployment processes.


⬝ 3-4 years of dev experience.


⬝ Nice to have: Zoho Deluge/Creator experience.

Communication

⬝ Comfortable on client calls, asking clarifying technical questions.

Soft skills

⬝ Works independently while proactively flagging dependencies/risks.


⬝ Strong self-QA discipline — doesn't accept AI output at face value.


⬝ Self-learning mindset to keep pace with evolving AI dev tools.


⬝ Manages multiple projects/timelines in a fast-paced environment.