Transformation Engineer - Software Development, AI & Quality Engineering

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Requisition

Business Unit:
Fitch Group

Category:
Information Technology

Location:

Toronto, ON, CA

Date Posted:
Aug 12, 2026

Transformation Engineer
- Software Development, AI & Quality Engineering

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 quality, and help evolve traditional QA into a more proactive, engineering-led quality model.

What We Offer:

Impactful work – Build and improve high-quality platforms used by analysts worldwide, with direct visibility into how your engineering solutions enhance reliability, trust, and production readiness.

Modern Engineering stack – Work with Python-based frameworks, CI/CD pipelines, AWS, Kubernetes, modern automation tools, and AI-assisted engineering and quality solutions.

Continuous learning – Grow through training, certifications, conferences, and clearly defined career paths into senior engineering and transformation roles.

Flexible environment – Work from our Chicago or Toronto office with hybrid flexibility, competitive compensation, comprehensive benefits, and strong work-life balance.

Innovation‑driven culture – Experiment with AI-enabled engineering approaches, intelligent automation, and modern quality practices while helping shape technical strategy across platforms.

We’ll Count on You To:

• 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 and related technologies to support intelligent validation, automation, and quality controls.
• Partner with engineering teams to 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.
• Build and enhance
  data and platform validation capabilities
  across ETL pipelines, APIs, microservices, and streaming architecture.
• Integrate automation and intelligent quality checks into
  CI/CD pipelines
  to support continuous testing, quality gates, and release confidence.
• Help modernize legacy QA approaches into developer-aligned quality engineering frameworks and scalable engineering practices.
• Collaborate across Technology, Risk, Compliance, Operations, and Emerging Tech to drive consistent engineering and quality outcomes.
• Provide clear reporting and insights on engineering quality, risks, and release readiness, leveraging AI where appropriate.

What You Need to Have:

• 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.
• Strong knowledge of
  data systems
  , including ETL, batch/streaming pipelines, APIs, and microservices.
• Advanced experience with
  SQL
  and relational databases such as
  Oracle and PostgreSQL
  .
• Experience with modern automation and quality tools, including
  Playwright and/or Selenium
  , with a strong…