Trendmicro
Applied AI Backend Engineer
Ottawa
Sponsorship not specifiedDetected 12 days ago
JavaScriptPythonJavaGoBackend DevelopmentFull-Stack DevelopmentGitPostgreSQLMySQLAWSAzureDockerCI/CDGitHub ActionsDevOpsJUnitTest AutomationCommunicationCollaborationProblem Solving
About the role
- A core component of this role is an AI-first approach to development.
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.
- Data Management: Work with relational and analytical data stores, including PostgreSQL, MySQL, RDS, and/or Vector/Graph DBs to support complex AI-driven business logic.
- Operations: Participate in on-call rotations to support critical system issues, ensuring high availability.
- 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.
Requirements
- 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), Docker, and containerized workflows.
- Communication: Strong communication skills and the ability to thrive within a highly collaborative, diverse team setting.
- Education: BS in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
- Testing & CI/CD: Experience writing automated tests and contributing to automated deployment pipelines.
- 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.
Skills
- Conduct detailed reviews of AI-generated code with a focus on architectural fit and edge cases.
- Write non-application code, including Infrastructure as Code (IaC), unit tests, and CI/CD pipelines (GitHub Actions).
- Stay current with emerging technologies and AI tools that improve development efficiency and system performance.
- Experience or strong interest in cloud-native application development (AWS/Azure), Docker, and containerized workflows.
- A proactive approach to problem-solving and a willingness to get up to speed quickly with new tools, particularly in the AI space.
Compensation
- 14 Annual Holidays
Benefits
- Trend Micro provides benefit options for you and your family.
- Group benefits program with health and dental coverage
- Telehealth Virtual Health Services
- Life Insurance
- Short & Long Term Disability
- Pre-partum, maternity, parental and medical leave
- Mental Health Wellness Program
- Wellness Incentive Program
- Retirement Savings Programs with company match
- Tuition Assistance
- Continuous Learning: Stay current with emerging technologies and AI tools that improve development efficiency and system performance.
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This listing is sourced directly from Trendmicro's careers page and normalized into a canonical job model.