Senior Full-Stack Engineer — Remote, AI‑Driven Delivery

Jobgether; Canada; Remote; CAD 120,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Full-time employment

AI-native engineering environment

Growth and leadership opportunities

Job summary

Jobgether is seeking a senior full-stack product engineer to build reliable, production-grade web software end-to-end. You’ll work in a small, accountable pod with product and domain experts across frontend, backend, databases, cloud infrastructure, testing, and production operations.

You will turn ambiguous requirements into clear, testable solutions and own features through deployment and monitoring, with AI-assisted development, code review, and QA embedded into the workflow to boost velocity

Qualifications

• 5+ years of professional experience building and shipping production web software.
• Strong proficiency with TypeScript and Node.js, React, or similar technologies.
• Experience with PostgreSQL or equivalent relational databases.
• Experience with AWS or similar cloud platforms.
• Experience writing unit tests and end-to-end tests (Playwright or similar).
• Comfortable working in autonomous, ownership-driven environments.

Responsibilities

• Own product features end to end from requirements to deployment and production support.
• Collaborate with product owners and domain experts to translate needs into buildable solutions.
• Develop across the full stack using React/TypeScript/Node.js, PostgreSQL, and AWS services.
• Write and maintain automated tests as part of the development lifecycle.
• Leverage AI coding tools and AI-assisted QA workflows to improve velocity and quality.
• Document technical decisions, estimates, and implementation rationale.

Job description

Jobgether is seeking a senior full-stack product engineer to build reliable, production-grade web software end-to-end. You’ll work in a small, accountable pod with product and domain experts across frontend, backend, databases, cloud infrastructure, testing, and production operations.

You will turn ambiguous requirements into clear, testable solutions and own features through deployment and monitoring, with AI-assisted development, code review, and QA embedded into the workflow to boost velocity