Snow AI Developer -Toronto, ON -Hybrid

Job description Job decsription

• Experience: 5+ years of professional experience building applications, with demonstrated

depth in both frontend and backend development.

• Frontend Mastery: Deep proficiency in Angular or React.js with TypeScript, with hands-on

experience building robust, reusable components.

• Backend Proficiency: Strong expertise in Node.js with proven ability to design end-to-end

solutions....

• Primary Stack Mastery: Deep proficiency in either Angular (frontend) or Java/Node.js

(backend), with hands-on experience building robust solutions in your area of

specialization.

• Secondary Stack Exposure: Solid foundational knowledge and practical experience in

your non-primary stack, with demonstrated ability and willingness to learn and adapt

across the full stack.

• Cloud Engineering: 2+ years of hands-on experience with AWS, Azure, or OpenShift,

focusing on distributed cloud applications and containerization (Docker/Kubernetes).

• Version Control: Expert knowledge of code merging and branching methodologies

using Git.

• CI/CD Expertise: Hands-on experience with GitHub Actions workflows, implementing

automated testing, security scanning, and deployment pipelines.

• Design Integration: Comfortable using Figma to translate high-fidelity designs into pixel

perfect production code.

• API & Design: Expert knowledge of RESTful APIs, OpenAPI specifications, and software

design patterns.

• DevOps Mindset: Experience in high-frequency CI/CD environments (shipping to

production daily) with a focus on automated unit, functional, and performance testing.

• Testing Expertise: Familiarity with test case design at different levels (component/service,

integration, end-to-end) and non-functional testing frameworks (Jest/Cypress).

The Modern AI Edge

• AI-Assisted Development: Proven experience using GitHub Copilot, Windsurf, or Claude

Code to accelerate development cycles and improve code quality.

• Observability: Skilled in production support using monitoring tools

like Splunk or Dynatrace.

• Agent Automation: Experience building and integrating intelligent agents into CI/CD

pipelines to automate code reviews, testing, and deployment processes. Show full description Report this listing Loading...