Software Engineer

Key Responsibilities

• Develop a Data and Cloud migration framework that accelerates the migration of the on-premise software assets to Snowflake Data and Azure Cloud platforms.

• Assist with the migration of the on-premise software assets to the Cloud platforms.

• Maintain and improve the team's software solutions and infrastructure.

• Contribute to the team’s continuous improvement process and help to develop software and data engineering best practices and standards particularly with respect to deployment and management of software assets to the Data and Cloud platforms.

• Develop new solutions and enhance existing solutions.

• Provide accurate status tracking, reporting, and estimation using project methods and tools.

• Responsible for completion of an acceptable volume of work and for the communication of status of personal work plans and tasks required to design, develop, and test assigned projects. Actively participate in the team’s agile ceremonies and work planning processes.

• Responsible for maintaining currency in technological trends and directions continually upgrading personal technical and IT skills through research, education and self-motivated technology experimentation.

• Participate in new technology investigation and make recommendations for new technology adoption where appropriate.

• Gather requirements, validate their understanding amongst the team, and create and maintain relevant documentation.

• Execute activities within the current methodology and uphold the highest quality standards.

• Foster collaboration with fellow engineers, designers, and managers to comprehend user pain points and iterate on solutions that drive client success.

• Take ownership of projects, from technical design to a successful launch.

• Participating in code reviews to maintain code quality and consistency.

Minimum Qualifications

• Sound knowledge of information systems theories, concepts, methods, and techniques.

• Strong expertise with at least 7+ years of experience in Python and SQL

• Experience with the following technologies:

• Databases and Data engineering: Snowflake, SQL Server, Oracle, Stored Procedures.

• Containers: Kubernetes, Docker

• Cloud Technologies: Azure, AKS

• DevOps/Agile: Git, Jenkins

• Experience migrating Data and Data Engineering assets to cloud platforms (ex. migrate data/databases and stored procedures to Snowflake, migrate Python analytic scripts to Azure AKS or equivalent Cloud platform)

• Experience in engineering software systems of medium-to-large scope and complexity.

• Proficiency with relational databases.

• Experience in building frontend/backend applications at scale.

• Experience working in an Agile environment and with modern development methodologies such as Test-Driven Development, Continuous Delivery and Scrum

• Experience in the financial industry required. Completion of the Canadian Securities Course and/or CFA candidacy is an asset.

• Communicate and interact effectively with systems professionals, as well as Capital Markets business users with minimal background in information technology.

• Excellent organizational, analytical and problem-solving skills.

• Proficiency in the English language.

Additional Experience Desired

• Experience with C# is nice to have.

• Web Development experience with common web development frameworks React, Flask, FastAPI, Django is a nice to have

• Experience with the following technologies is nice to have:

• Databases and Data engineering: Airflow/Astronomer, DBT, SSIS

• Reporting: PowerBI

• Experience migrating web applications to cloud platforms (ex. migrate React/Django web applications to Azure/AKS) is a nice to have.

• Experience with common financial data providers is an asset (ex. Bloomberg, Refinitiv, S&P Xpressfeed).

• Understanding of AI coding agents (Claude Code, Copilot, Cursor or others)

• Undergraduate or graduate degree in a quantitative discipline such as Engineering or Computer Science.