Transformation Engineer - Software Development, AI & Quality Engineering

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, DevOps, 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 validation frameworks.

 

What Would Make You Stand Out:

• Strong understanding of how intelligent test orchestration supports DevOps and continuous quali