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Added 19 days ago
Cyber Intelligence Automation and Integration Analyst, Global Security
Royal Bank of Canada
Toronto, ON
Full-time
Working knowledge of software development lifecycle, DevOps workflows and CI/CD pipelines.
Added 19 days ago
Senior Lead Software Engineer, Payment Systems - Vice President
Citi
Mississauga, ON
Full-time
Integrate AI-powered developer tools and AI/ML capabilities - including anomaly detection, intelligent test generation, and observability platforms - into production payment workflows to…
Added 18 days ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Position title: SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
Added 19 days ago
Senior Analyst (Senior Associate), Portfolio Analytics - Global Credit
OMERS
Toronto, ON · Head Office Toronto
Full-time
Comprehensive experience with Github, Azure DevOps CI/CD
Added 19 days ago
Senior Solutions Engineer, Mid-Enterprise
Docker
Remote, Canada
Full-time · Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 18 days ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Define and implement CI/CD, deployment automation, source control, and environment management practices using Azure DevOps and Microsoft Fabric deployment capabilities.
Added 19 days ago
Analytics & AI Solutions Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Added 19 days ago
Cyber Intelligence Automation and Integration Analyst, Global Security
RBC
Toronto, ON
Full-time
Working knowledge of software development lifecycle, DevOps workflows and CI/CD pipelines.
Added 20 days ago
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 23 days ago
AI Research Engineer
Deloitte
Toronto, ON
Full-time
Contribute to the design of scalable MLOps/DevOps pipelines for model deployment, monitoring, and continuous training.
Added 24 days ago
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON
Full-time
…hardcoded credentials; and enforce zero‑trust principles across DevOps…
Added 24 days ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
$120,000 to $175,000 CAD / year
Full-time
Understanding of CI/CD pipelines (Azure DevOps).
Added 25 days ago
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
Design and improve CI/CD pipelines and DevOps automation.
Added 1 month ago
Intermediate Full Stack Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
Added 24 days ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
…Azure, AWS), secure device/user onboarding solutions, etc. DevOps/REST or other common API programming knowledge a…
Added 27 days ago
AI - Full Stack Engineer
Emterra Group
Remote, Canada
$110,000 to $120,000 CAD / year
Full-time · Remote
Solid understanding of DevOps practices and Azure DevOps or GitHub Actions
Added 21 days ago
Senior Technical Account Manager
Docker
Remote, Canada
Full-time · Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 26 days ago
Senior Solutions Consultant
PagerDuty
Toronto, ON
Full-time
…to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom,…
Added 8 days ago
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
Full-time
CI/CD pipelines and DevOps processes using Salesforce CLI, Git, and deployment automation tools (e.g., Copado, Gearset)
Added 11 days ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
…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,…
Added 14 days ago
Lead, Data Engineer
Canfor
Vancouver, BC
Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Purview, Azure DevOps, etc.
Added 26 days ago
Senior Python Engineer – Kafka & Unix
Wissen Technology
Montreal, QC
Full-time
We are looking for an experienced Python Developer with strong hands-on expertise in Python, Apache Kafka, and Unix/Linux environments. The ideal candidate will develop and maintain…
Added 18 days ago
Director Large Program Management
Royal Bank of Canada
Toronto, ON
Full-time
…technologies, including knowledge of RBC Assist ecosystem, RPA, DevOps, and Helios, paired with cloud/AI platform proficiency…
Added 26 days ago
Senior Enterprise Account Executive
STA
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is a fast-growing cloud, DevOps, and generative-AI consultancy based in Toronto, recognized as a top-tier partner within a major cloud provider’s ecosystem for its deep expertise…
Added 27 days ago
Python developer
I8IS - Infiniti Software Solutions
Mississauga, ON
Full-time
Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Fitch Group

Transformation Engineer - Software Development, AI & Quality Engineering

Toronto, ON, Canada

Pay: FOR TORONTO ROLES ONLY: Expected base pay rates for the role will be between CAD $145,000 and CAD $165,000 per year.
Experience: 8+ years of experience in software engineering, data platforms, ETL, or large-scale distributed systems.
Posting language: English
Posted: Sep 9, 2026

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Original job description

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 quality gates.
Familiarity with AI‑ or ML‑based approaches for data quality assurance including model validation, drift detection, or intelligent checks.
Ability to act as a thought partner on how AI can continuously improve engineering and quality outcomes across platforms.
Awareness of AI governance, explainability, and responsible AI principles, particularly in regulated or risk‑sensitive environments.
Financial Services Background – Experience with analytical workflows, financial products, or regulatory processes

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.

We are building incredible things at Fitch and we invite you to join us on our journey.

Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.

For more information please visit our websites:

www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

FOR TORONTO ROLES ONLY: Expected base pay rates for the role will be between CAD $145,000 and CAD $165,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

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More about this job

Responsibilities

Design and build scalable engineering solutions that leverage AI and automation to enhance software delivery, testing, and platform reliability. Partner with cross-functional teams to embed quality engineering practices and modernize legacy QA frameworks into developer-aligned models.

Requirements

Requires 8+ years of experience in software engineering, data platforms, or large-scale distributed systems with strong hands-on development skills in Python. Candidates must demonstrate expertise in AI/ML techniques for engineering workflows and a solid understanding of modern automation, CI/CD, and data system architectures.

Skills

Python
Software engineering
Data platforms
ETL
Distributed systems
AI/ML
Automation
Quality engineering
SQL
PostgreSQL
Oracle
Playwright
Selenium
CI/CD
DevOps
Microservices

Benefits

Competitive compensation
Comprehensive benefits
Work-life balance
Training
Certifications
Career development

Visa sponsorship

Not detected in the job text

Keywords

Software Development
AI-enabled engineering
Quality Engineering
Python
AWS
Kubernetes
CI/CD
Automation
ETL
APIs
Microservices
Streaming architecture
SQL
Oracle
PostgreSQL
Playwright
Selenium
Shift-left
Anomaly detection
Data quality
DevOps
Financial Services
Regulatory processes
Distributed systems
Engineering strategy

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