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Added 12 mins ago
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Fitch Ratings

Lead Software Engineer, Full-Stack Applications - AI Fluent

Toronto, ON, Canada

$180,000 to $220,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $220,000 CAD / year
Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Lead Software Engineer, Full-Stack Applications – AI Fluent

Fitch Ratings is seeking a Lead Software Engineer to join our global Ratings Technology team in Toronto. This is an opportunity to build mission-critical platforms while helping shape the next generation of technology that powers how a world-leading credit ratings agency delivers insights. In this highly visible role, you will combine hands-on engineering leadership with a passion for innovation, partnering with product, analytics, and technology teams to modernize workflows and accelerate responsible AI adoption across the tribe and squad.

You will work closely with talented engineering teams supporting Ratings workflow and analytical applications, influencing both technical architecture and organizational direction . We are looking for a seasoned technologist who enjoys solving complex problems, mentoring others, and turning emerging ideas into practical outcomes. You do not need to be an AI specialist, but you should be excited to explore how AI, automation, and modern engineering practices can improve developer productivity, analyst experience, decision support, and operational excellence. This is a critical leadership role for an organization investing in the future and looking for someone who can inspire curiosity, experimentation, and measurable innovation across teams.

What We Offer

Strategic leadership with organizational impact – Shape technical architecture and product direction for applications used by analysts worldwide, with high visibility to senior leadership and the ability to influence technology strategy across Ratings Technology
AI-forward innovation culture – The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value
Continuous learning and career growth – Training, certifications, conferences, mentorship opportunities, and clear paths to principal/architect/leadership tracks as you establish yourself as a thought leader
Flexibility and world-class environment – Work from premier offices in London, Manchester, or Toronto with hybrid flexibility, competitive compensation reflecting your seniority, comprehensive benefits, and a culture that values both innovation and work-life harmony

We'll Count On You To

Define technical vision and accelerate AI-enabled transformation – Design robust, scalable full-stack applications using Python and React, guide architectural decisions, establish technical standards, and identify high-value opportunities where AI, intelligent automation, and modern data-driven workflows can improve outcomes for analysts and engineering teams
Lead through influence and mentorship – Partner with product managers, analysts, and senior stakeholders as a trusted technical advisor, mentor engineers across teams, facilitate technical discussions, and foster a culture of experimentation, learning, and psychological safety
Champion innovation and responsible AI adoption – Challenge existing approaches constructively, encourage experimentation, create and evaluate proofs of concept, promote approved AI tools and responsible usage patterns, and help the tribe and squad turn promising ideas into scalable engineering practices
Champion engineering excellence and quality – Implement CI/CD pipelines, conduct architecture reviews, solve complex performance and scalability challenges, establish best practices that scale across teams, and balance innovation with pragmatic delivery
Shape team direction and build an innovation flywheel – Influence team processes, lead strategic technical initiatives spanning multiple teams, share learnings from AI pilots, create space for peer-led adoption, and model the curiosity, humility, and boldness needed to make innovation part of everyday delivery
Own reliability and navigate complexity – Provide expert troubleshooting for sophisticated issues, maintain system performance at scale, balance multiple strategic priorities, and deliver excellence in fast-paced Agile environments

What You Need To Have

Deep full-stack engineering expertise – 15+ years of hands-on experience building enterprise applications, with expert-level proficiency in Python and REACT, and modern web technologies in production environments
Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; deep understanding of software architecture, design patterns, data structures, algorithms, and the ability to make architectural decisions and live with their consequences
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
Leadership and influence – History of mentoring engineers, driving technical decisions through influence, leading complex initiatives, and elevating team capabilities
Innovation mindset and practical AI fluency – Exceptional analytical abilities, demonstrated curiosity about emerging technologies, comfort experimenting with AI-enabled approaches, sound judgment around responsible usage, and the ability to learn from feedback while helping others build confidence with new ways of working
Outstanding collaboration and communication skills – Proven success with cross-functional teams, ability to articulate complex technical concepts to diverse audiences, and emotional intelligence to navigate organizational dynamics

What Would Make You Stand Out

Modern engineering practices and DevOps prowess – Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with microservices and cloud-native architecture
AI adoption leadership – Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams
Leadership trajectory – Experience in principal engineer, tech lead, or architect roles; history of contributing to technical strategy or organizational direction; thought leadership through talks, writing, or community involvement
Financial services domain expertise – Experience with analytical workflows, regulatory processes, financial products, credit ratings, or understanding of how technology enables better decision-making
Agile mastery and change agent experience – Track record of establishing practices, challenging established patterns constructively, and creating space for teams to innovate and take calculated risks

If you are a seasoned engineering leader who wants to build impactful platforms, inspire teams, and help shape how AI and innovation are adopted responsibly across a global technology organization, we would love to hear from you.

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.

About Fitch Group

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 180,000 CAD and 220,000 CAD 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

Lead the design and development of scalable full-stack applications using Python and React, guide architecture and engineering standards, and identify practical opportunities for AI and automation. Mentor engineers, influence cross-functional and organizational direction, champion responsible AI experimentation, and ensure application quality, performance, and reliability.

Requirements

Requires 15 or more years of hands-on enterprise application development experience, expert proficiency in Python and React, and a bachelor's degree in computer science, software engineering, a related field, or equivalent experience. Candidates should demonstrate architectural depth, technical leadership and mentoring, strong collaboration and communication, and practical curiosity about responsible AI adoption.

Skills

Python
React
Full-Stack Engineering
Software Architecture
Technical Leadership
Mentoring
Artificial Intelligence
Responsible AI Adoption
CI/CD
Docker
Kubernetes
AWS
Azure
Microservices
Cloud-Native Architecture
Agile

Benefits

Comprehensive Benefits
Training
Certifications
Conference Opportunities
Mentorship Opportunities
Hybrid Flexibility
Discretionary Bonuses
Long-Term Incentives

Visa sponsorship

Not detected in the job text

Keywords

Python
React
Full-Stack Applications
Enterprise Applications
Software Architecture
Design Patterns
Data Structures
Algorithms
Artificial Intelligence
Generative AI
Intelligent Automation
Developer Productivity
CI/CD Pipelines
Docker
Kubernetes
EKS
GitHub
AWS
Azure
Microservices
Cloud-Native Architecture
Agile
Ratings Workflow
Analytical Applications
Financial Services
Credit Ratings
Regulatory Processes
Performance and Scalability
Technical Mentorship
Responsible AI

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