Overview
Skills
Job Details
Role: Sr Java and Python Developer (with AWS skills)
Location: Toronto, CA (4 Days Onsite)
Project description
We're seeking a Senior Software Engineer to design and build robust, scalable systems that support portfolio and risk analytics, order and trade lifecycle processing, and investment strategies. You will work closely with portfolio managers, quantitative analysts, and product teams to develop technology solutions that create tangible business value in the capital markets space.
Responsibilities
Design and implement end-to-end technology solutions in an Agile environment, collaborating with business and technical partners.
Leverage AWS cloud services to build scalable, cloud-native applications aligned with long-term architecture goals.
Manage structured and unstructured data, ensuring accessibility, accuracy, and usability across various business functions.
Identify and resolve data issues, exceptions, and inconsistencies while improving data quality and reliability.
Build and maintain CI/CD pipelines, automated tests, and infrastructure-as-code for efficient deployment.
Ensure system performance, reliability, and scalability across mission-critical applications.
Drive engineering excellence through coding best practices, technical mentorship, and peer collaboration.
Skills
Must have
10+ years of experience with Python for backend development and data processing
10+ years of experience with Java in enterprise systems
5+ years working with relational databases (e.g., PostgreSQL, MySQL)
5+ years of hands-on experience with MongoDB
5+ years developing and deploying systems on AWS
Demonstrated experience in Capital Markets, Portfolio Management, or Risk Analytics
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Nice to have
Familiarity with data pipelines, data lakes, and event-driven architectures
Experience with containerization (e.g., Docker, Kubernetes)
Working knowledge of DevOps practices and tools such as Terraform, GitHub Actions, or Jenkins
Exposure to quantitative models, financial data, or multi-asset strategies
Comfortable working in fast-paced, regulated environments with high-performance expectations