Senior Software Engineer - Python

Fitch Group • Toronto, ON

1d • CA$130,000 - CA$180,000 • Hybrid

About The Position

Fitch Group is currently seeking a Senior Software Engineer – Python based out of our Toronto office. The Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. At Fitch, AI is embedded in how we work every day—supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done.

Requirements

• 7+ years of professional software engineering experience with Python as the primary language
• Strong experience with AWS services (e.g., Lambda, S3, ECS/EKS, SQS, RDS, DynamoDB, IAM)
• Hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins, or equivalent)
• Experience with dbt (Data Build Tool), Airflow, or similar data pipeline orchestration tools
• Proficiency with GitHub workflows, pull requests, and collaborative development practices
• Experience with relational databases (e.g., PostgreSQL, Oracle) including query optimization and schema design
• Experience with non-relational databases (e.g., MongoDB, DynamoDB, Redis, Elasticsearch)
• Practical experience with message brokers and streaming platforms (Apache Kafka, RabbitMQ, AWS SQS/SNS)
• Experience building RESTful/GraphQL APIs with FastAPI (or equivalent frameworks such as Flask/Django REST/asyncIO )
• Experience designing and building data pipelines (batch and/or real-time)
• AI fluency – familiarity with integrating AI/ML services, LLM APIs (e.g., OpenAI, AWS Bedrock), or building AI-powered features
• Demonstrated experience owning and delivering end-to-end applications in a production environment
• Proven track record of mentoring engineers and contributing to team growth
• Experience leading or contributing to POC initiatives and translating outcomes into actionable decisions
• Strong understanding of software governance, coding standards, and engineering best practices

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 Quick

Responsibilities

• Design, develop, and maintain robust Python-based backend services and APIs using FastAPI/ asyncIO, and architect scalable data pipelines for ingestion, transformation, and delivery of large datasets
• Build and manage streaming and event-driven architectures using Apache Kafka, RabbitMQ, and AWS SQS, and deploy cloud infrastructure on AWS (Lambda, EC2, ECS, S3, RDS, DynamoDB)
• Design and optimize both relational and non-relational databases, and integrate AI/ML models and services, including LLMs and cloud AI APIs
• Develop and maintain CI/CD pipelines, champion containerization with Docker and Kubernetes/ECS, and enforce version control best practices using GitHub
• Establish and enforce coding standards, design patterns, and governance frameworks, including architecture decision records, API standards, and security best practices, promoting TDD and clean architecture principles
• Lead Proof of Concept (POC) initiatives to evaluate new technologies and present trade-off analyses and recommendations to stakeholders
• Take full end-to-end ownership of critical applications, managing incidents, escalations, documentation, performance monitoring, and technical debt
• Mentor and coach junior and mid-level engineers through code reviews, knowledge-sharing sessions, and tech talks, while contributing to technical roadmaps and platform strategy
• Demonstrate strong soft skills including clear communication, collaboration, accountability, adaptability, and a continuous learning mindset

Benefits

• Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location
• A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
• Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long-term goals
• Promoting Health & Wellness: Comprehensive healthcare offerings that prioritize a healthy body & mind
• Supportive Parenting Policies: Family-first policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
• Dedication to Giving Back: Paid volunteer days and support for community engagement initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed