AI-Driven Transformation Engineer: Software & Quality

Fitch

Toronto

Hybrid

CAD 145,000 - 165,000

Full time

14 days+
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Job summary

Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on building intelligent engineering solutions that improve how teams design, develop, test, and deliver data-intensive platforms and applications.

The ideal candidate is a strong developer who can apply AI, automation and engineering best practices to accelerate delivery, improve platform reliability, strengthen

Qualifications

  • 8+ years of experience in software engineering, data platforms, ETL, or large-scale distributed systems.
  • Strong hands-on development experience, particularly in Python, with the ability to build reusable frameworks, services, and automation solutions.
  • Experience applying AI/ML or intelligent automation in engineering workflows, especially in validation, testing, optimization, or anomaly detection.

Responsibilities

  • Design and build scalable engineering solutions that use AI and automation to improve software delivery, testing, and platform reliability.
  • Develop production-grade frameworks, services, and utilities in Python to support intelligent validation, automation, and quality controls.
  • Embed quality engineering and validation practices early in the development lifecycle and drive shift-left transformation.
  • Apply AI/ML techniques to improve test generation, coverage optimization, anomaly detection, defect identification, and engineering insight.

Skills

Python
AI & automation
Quality engineering
CI/CD
DevOps
SQL

Tools

Playwright
Selenium
AWS
Kubernetes

Job description

Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on building intelligent engineering solutions that improve how teams design, develop, test, and deliver data-intensive platforms and applications.

The ideal candidate is a strong developer who can apply AI, automation and engineering best practices to accelerate delivery, improve platform reliability, strengthen

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