Applied AI Backend Engineer

TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.

At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future.

AI Fearlessly.

Location: This is a hybrid role with a minimum in-office requirement of 3 days per week in the Ottawa, ON office located at 40 Hines Rd, Ottawa, ON K2K 2M5.

Position Summary:

We are looking for a talented Applied AI Backend Software Developer to join our team and contribute significantly to the design, development, and maintenance of TrendAI Vision One. In this role, you will design and implement robust and maintainable solutions designed for scale using cloud services.

A core component of this role is an AI-first approach to development. You will be expected to utilize AI-enabled tools and coding assistants to accelerate feature delivery, manage system uncertainties, and maintain high standards of code quality. You will collaborate with cross-functional teams to ensure successful project delivery while continuously experimenting with emerging technologies to improve system performance.

Responsibilities:

- AI-Accelerated Development: Use AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) to rapidly prototype, debug, and optimize backend services and networking flows.

- Feature Delivery: Leveraging AI-SDLC, contribute to the design and implementation of scalable, maintainable, and secure backend services, including enhancing and optimizing existing applications.

- Cloud-Native Engineering: Develop cloud-native features using AWS/Azure services, including integrated monitoring and observability.

- System Integration: Design and build services that support internal and external system integrations, including APIs and data pipelines.

- Automated Testing & Quality: Using AI, produce and maintain automated tests using tools like JUnit, Go testing libraries, and Python-based frameworks. Conduct detailed reviews of AI-generated code with a focus on architectural fit and edge cases.