Senior Developer

Join a Challenger

At EQB, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.

We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.

What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.

If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.

We can’t wait to get to know you!

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, DevOps, 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 Bring!

• 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, IntelliJ).
• 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.

Good to Have Skills!

• Experience with microservices architecture.
• Experience developing cloud-native apps.
• Familiarity with infrastructure-as-code concepts (e.g., Terraform, CloudFormation).
• 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.