Software Engineer, Full-Stack

Software Engineer, Full-Stack Applications (Toronto)

Requisition

Business Unit:
Fitch Ratings

Category:
Information Technology

Location:

Toronto, ON, CA

Date Posted:
Feb 11, 2026

Location: Toronto

Fitch Ratings is seeking a Software Engineer to join our global Ratings Technology team in Toronto. You'll build and maintain mission‑critical full‑stack applications that power how a world‑leading credit ratings agency delivers insights to analysts, executives, and decision‑makers who shape global financial markets.

You’ll work on Ratings workflow and analytical applications using modern technologies across the full stack—from backend services in Java and Python to frontend applications in React. This role offers the opportunity to work with cutting‑edge cloud technologies, contribute to technical solutions, and grow your skills in a collaborative environment.

• Impactful work
  – Build applications used by analysts worldwide with direct visibility to your contributions
• Modern technology stack
  – Work with Java, Python, React, AWS, Kubernetes, and emerging AI technologies
• Continuous learning
  – Training, certifications, conferences, and clear paths to senior/principal/architect tracks
• Flexible environment
  – Work from our Toronto office with hybrid flexibility, competitive compensation, comprehensive benefits, and work‑life balance
• Innovation culture
  – Experiment with new technologies, contribute ideas, and help shape technical decisions

• Develop and maintain full‑stack applications
  – Build robust, scalable applications using Java/Springboot, Python (FastAPI/Flask), and React
  
  JS following best practices and design patterns
• Contribute to the development lifecycle
  – Write clean, maintainable code, implement CI/CD pipelines with Git Hub Actions, deploy to Kubernetes, and ensure quality through testing and code reviews
• Work with diverse data technologies
  – Develop solutions using RDBMS (Postgre
  
  SQL, Oracle) and No
  
  SQL (Mongo
  
  DB) databases, optimize queries, and ensure data integrity
• Collaborate across teams
  – Partner with product managers, analysts, and other engineers to understand requirements and deliver solutions that meet business needs
• Apply engineering best practices
  – Follow SOLID principles and design patterns, participate in code reviews, solve technical challenges, and contribute to code quality
• Support and improve systems
  – Troubleshoot production issues, optimize performance, and help ensure reliability of applications at scale
• Stay current with technology
  – Learn and experiment with emerging technologies, share knowledge with the team, and contribute to continuous improvement

• Full-Stack Engineering Experience
  – 7+ years of hands‑on experience building enterprise applications and modern web technologies in production environments
• Software Engineering Fundamentals
  – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code
• Backend Development
  – Proficiency in Java, Spring Boot, Maven, and Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development
• Database Technologies
  – Hands‑on experience with RDBMS databases (e.g., Oracle, Postgre
  
  SQL) and No
  
  SQL databases (e.g., Mongo
  
  DB)
• Dev Ops & Cloud
  – Experience with CI/CD pipelines, Git Hub Actions, Kubernetes (K8s), shell scripting (Bash) for automation, and AWS cloud platform
• Effective communication and teamwork
  – Ability to collaborate with cross‑functional teams and communicate technical concepts clearly

• AI and Machine Learning
  – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications
• Data Technologies
  – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications
• Advanced Data Management
  – Strong SQL design, query optimization, and database architecture expertise
• Observability
  – Experience with observability patterns and tools like Datadog, distributed…