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Montreal, QC, Canada
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Strong expertise in Core Java development, with a proven track record of building production-grade backend systems.
Experience designing and building large-scale distributed systems.
Solid understanding of data structures, algorithms, and software design patterns.
Strong working knowledge of Linux/Unix environments and scripting.
Experience with relational and/or document-oriented databases.
Ability to translate business and analytical requirements into efficient technical solutions. Deep Market Risk domain expertise is not required upfront and can be developed on the job through close partnership with Risk and Analytics teams.
Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.
Typically 5 years of relevant experience building large-scale, production-grade systems, with demonstrated expertise in Java-based backend development and distributed system design.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Soft Skills & Responsibilities:
Strong problem-solving and analytical thinking skills.
Self-starter with the ability to take initiative and drive projects independently.
Ability to align technology solutions with business goals and regulatory requirements.
Excellent verbal and written communication skills.
Preferred Qualifications:
Experience with Agentic AI development tools such as GitHub Copilot and Claude Code.
Experience using Python and Unix in production environments.
Experience with cloud platforms such as Azure, AWS, GCP, or other major cloud providers.
Exposure to big data technologies such as Apache Spark and Snowflake.
Experience with Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
Knowledge of containerized deployments and cloud-native architectures.
Familiarity with Agile software development methodologies and DevOps best practices.
Background in financial services, particularly within Market Risk or FinTech
Bachelor's degree
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