Senior Software Engineer - Python

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's 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. Want to learn more about a career in technology and data at Fitch? Visit: Fitch Group is currently seeking a Senior Software Engineer – Python based out of our Toronto office.How You’ll Make an Impact: 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 datasetsBuild 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 APIsDevelop and maintain CI/CD pipelines, champion containerization with Docker and Kubernetes/ECS, and enforce version control best practices using GitHubEstablish and enforce coding standards, design patterns, and governance frameworks, including architecture decision records, API standards, and security best practices, promoting TDD and clean architecture principlesLead Proof of Concept (POC) initiatives to evaluate new technologies and present trade-off analyses and recommendations to stakeholdersTake full end-to-end ownership of critical applications, managing incidents, escalations, documentation, performance monitoring, and technical debtMentor and coach junior and mid-level engineers through code reviews, knowledge-sharing sessions, and tech talks, while contributing to technical roadmaps and platform strategyDemonstrate strong soft skills including clear communication, collaboration, accountability, adaptability, and a continuous learning mindsetYou May be a Good Fit if:7+ years of professional software engineering experience with Python as the primary languageStrong 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 toolsProficiency with GitHub workflows, pull requests, and collaborative development practicesExperience with relational databases (e.g., PostgreSQL, Oracle) including query optimization and schema designExperience 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 featuresDemonstrated experience owning and delivering end-to-end applications in a production environmentProven track record of mentoring engineers and contributing to team growthExperience leading or contributing to POC initiatives and translating outcomes into actionable decisionsStrong understanding of software governance, coding standards, and engineering best practicesWhat Would Make You Stand Out: Experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)Familiarity with Apache Spark or other distributed processing frameworksExperience with dbt, Airflow, or similar data pipeline orchestration toolsKnowledge of MLOps practices and model deploymentExperience working in Agile/Scrum environmentsFamiliarity with observability tools (e.g., Datadog, Grafana, OpenTelemetry)Familiarity with data visualization tools like Qlik Sense, Power BI, Amazon QuickWhy Choose Fitch: 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 opportunityInvesting in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long-term goalsPromoting Health & Wellness: Comprehensive healthcare offerings that prioritize a healthy body & mindSupportive Parenting Policies: Family-first policies, including a generous global parental leave plan, designed to help you balance career and family life effectivelyDedication to Giving Back: Paid volunteer days and support for community engagement initiativesAt 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.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 is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified 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 ONLYExpected base pay rates for the role will be between CAD 130,000 and CAD 180,000 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. #LI-KN1 #LI-HYBRID #LI-GROUP