Senior Software Engineer, Full-Stack Applications (Python & React)

Fitch Group•Toronto, ON

3d•CA$130,000 - CA$170,000•Hybrid

About The Position

Fitch Ratings is seeking a Senior Software Engineer to join our global Ratings Technology team in Toronto. This is an opportunity to build and enhance mission-critical applications that power the workflows, analytics, and decision-making processes used by analysts across a world-leading credit ratings organization. As a member of our Ratings Technology team, you will work on modern full-stack applications that support core business capabilities, partnering closely with engineers, product managers, and business stakeholders. We are looking for a highly experienced software engineer with deep expertise in Python and React, strong software engineering fundamentals, and a passion for building scalable, reliable, and user-focused solutions. We are particularly interested in engineers who are excited about the next generation of software development, including the use of AI-powered technologies and large language models (LLMs) to improve applications, automate workflows, and create better user experiences.

Requirements

8+ years of professional software engineering experience building and supporting enterprise-grade applications.
8+ years of hands-on Python development experience, building scalable backend services, APIs, and data-driven applications using frameworks such as FastAPI, Flask, Django, or similar.
5+ years of hands-on React experience developing modern, responsive, and scalable web applications in production environments.
Strong experience with TypeScript/JavaScript, HTML, CSS, and modern frontend development practices.
Experience designing and developing RESTful APIs and integrating with third-party services.
Solid understanding of software design principles, design patterns, object-oriented programming, data structures, algorithms, and scalable system architecture.
Experience working with relational and NoSQL databases.
Familiarity with Agile development methodologies and modern software delivery practices
AI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability to evaluate and apply AI technologies to solve real business problems.
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Nice To Haves

Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
Familiarity with Apache Spark or other distributed processing frameworks
Experience with dbt, Airflow, or similar data pipeline orchestration tools
Knowledge of MLOps practices and model deployment
Experience working in Agile/Scrum environments
Familiarity with observability tools (e.g., Datadog, Grafana, OpenTelemetry)
Familiarity with data visualization tools like Qlik Sense, Power BI, Amazon Quicksight

Responsibilities

Design, develop, and maintain full-stack applications using Python, React, and modern software development practices.
Build scalable backend services and APIs that support business-critical workflows and data-driven applications.
Develop intuitive frontend experiences using React, TypeScript, and modern web technologies.
Collaborate with cross-functional teams to understand requirements, define technical solutions, and deliver high-quality software.
Contribute to application architecture and technical design, ensuring scalability, maintainability, security, and performance.
Promote engineering excellence through code reviews, testing, documentation, CI/CD automation, and software development best practices.
Explore and implement AI-powered capabilities where they can create business value, improve user experiences, or enhance operational efficiency.