Transformation Engineer - Software Development, AI & Quality Engineering

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Transformation Engineer - Software Development, AI & Quality Engineering

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 understanding of how quality engineering supports software delivery.

Familiarity with CI/CD, Dev Ops, and continuous quality engineering practices.

Demonstrated ability to influence teams to adopt  quality‑first and shift‑left practices  across design, development, and deployment.

Familiarity with self-healing automation ,  intelligent orchestration, or AI-assisted…