Senior Developer

Location:

1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5
What you’ll do   Deliver robust, scalable AI platform components and end-to-end solutions both independently and collaboratively
Collaborate closely with software developers, data engineers, Dev Ops, and data scientists to develop and support AI platform features
Participate in design and architecture discussions for AI platform services, ensuring flexibility, scalability, and reliability
Develop and enhance APIs, platform features, and tools to support AI and data workflows
Review and optimize code for performance, maintainability, and compliance with platform standards
Mentor junior developers on best practices for platform development and effective use of platform tools
Ensure platform security, monitoring, and compliance with best practices
Provide production support and troubleshooting for AI platform components
What you’ll need   Minimum 7 years of software engineering experience
5+ years’ experience with Java & Spring Boot Framework
Experience building APIs and services (REST) to support data and AI workflows
Experience working with XML and JSON data formats
Strong background in large‑scale, distributed system development
Hands‑on experience with containerization and orchestrators (e.g., Docker, Kubernetes)
Experience working in integrated team environments using source control systems (e.g., Git, Intelli

J)
Evidence of design skills and understanding of design patterns, with the ability to apply them to platform architecture

Experience with Test‑Driven Development (TDD) and unit testing frameworks
Agile program experience with a continuous delivery approach
Self‑motivated with a strong team orientation
Strong work ethic
Ability to work independently and collaboratively
Excellent multi‑tasking and time‑management skills
Ability to effectively communicate with both technical and non‑technical stakeholders
Good to have skills   

Experience with microservices architecture
Experience developing cloud‑native apps
Familiarity with infrastructure‑as‑code concepts (e.g., Terraform, Cloud Formation)

Experience with "The Twelve‑Factor App" methodology
Hands‑on experience with MLOps tools and monitoring solutions (e.g., MLflow, Prometheus, Grafana)
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and operating AI/platform services

Experience with workflow orchestration tools (e.g., Airflow, Kubeflow Pipelines)
JIRA / Confluence
We recognize the importance of a diverse workforce and we encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability.
Accommodation is available upon request for applicants and colleagues with disabilities.
Hiring Range / Salary: $ - $ per year
This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position.

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