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, testing, and support 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 high-volume data ingestion pipelines.
· Automated Testing & Quality: Using AI, produce and maintain automated tests using tools like Go testing libraries, and Python-based frameworks. Conduct detailed reviews of AI-generated code with a focus on architectural fit and edge cases.
· Data Management: Work with relational and analytical data stores, including MySQL, RDS, and cloud-based data lakes to support complex AI-driven business logic.
· Infrastructure & DevOps: Write non-application code, including Infrastructure as Code (IaC), unit tests, and CI/CD pipelines (GitHub Actions).
· Troubleshooting: Troubleshoot full-stack issues, including debugging service communication and complex networking flows.
· Continuous Learning: Stay current with emerging technologies and AI tools that improve development efficiency and system performance.
· Operations: Participate in on-call rotations to support critical system issues, ensuring high availability.
Qualifications:
· Experience: Ideal for candidates with 0–3 years of experience, including internships or equivalent hands-on work.
· Education: BS in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
· Technical Proficiency: Demonstrated experience in one or more backend languages such as Go, Java, JavaScript, or Python.
· AI Mastery: Proven experience using AI coding assistants to explore multiple implementation approaches in parallel and accelerate the SDLC.
· Cloud & Containers: Experience or strong interest in cloud-native application development (AWS/Azure), Kubernetes, Docker, and containerized workflows.
· Testing & CI/CD: Experience writing automated tests and contributing to automated deployment pipelines.
· Domain Knowledge: Some knowledge of, or interest in, internet security protocols, domain information (e.g., certificates), and general internet networking concepts is a plus, though not required.
· Growth Mindset: A proactive approach to problem-solving and a willingness to get up to speed quickly with new tools, particularly in the AI space.
· Communication: Strong communication skills and the ability to thrive within a highly collaborative, diverse team setting.
