Jobs at Trend Micro

The DevOps Platform Engineer provides technical support for Trend Micro products, assists clients, manages cases, and improves technical knowledge through training and collaboration.

Build end-to-end product features by translating customer requirements into prototypes and production code. Implement frontend, backend, APIs, and integrations; use AI-assisted tools and LLMs to accelerate development. Collaborate with product, UX, AI teams and customers to validate workflows and deliver usable enterprise software.

Operate and automate large-scale cloud systems for multiple TrendAI™ services: build IaC (Terraform/CloudFormation), configure Ansible automation, run containerized workloads on Kubernetes, maintain observability with Grafana, manage RDS, own CI/CD workflows and on-call incident response, integrate AI-native tools into engineering workflows, and drive reliability, security, and automation across multiple products.

Design, build, and ship AI/agent features and infrastructure (agents, evaluation, telemetry, platform services). Prototype quickly, operate AI systems, drive pilots to production, root-cause failures, and ensure LLM output quality and reliability.

Build and maintain a global BI self-service platform using .NET Core/Python backends and React+TypeScript frontends. Collaborate with stakeholders, ensure performance and scalability, integrate data sources, use CI/CD and DevOps practices, and apply AI-augmented development workflows to deliver reliable, testable full-stack features.

Build and own the Vision One XDR Workbench features using AI-assisted development across frontend, backend, and DevOps. Translate product requirements into specs, integrate AI tools throughout the engineering lifecycle, ensure system-quality via BDD/TDD and monitoring, and validate outcomes with data-driven feedback.

Design, implement, and support Microsoft Dynamics 365 (CRM and Business Central) solutions. Customize modules and Power Automate flows, build integrations with Azure and APIs, design scalable architectures, troubleshoot platform issues, engage stakeholders for requirements, document technical designs and deployment plans, and promote continuous improvement using Dynamics, Power Platform, and AI tools.

The Customer Success Manager ensures business and security outcomes for enterprise customers, acts as a security advisor, and coordinates efforts across teams to drive value realization, manage renewals, and foster customer advocacy.

The Senior Deal Desk Analyst manages complex sales transactions, ensuring compliance and optimizing the quote-to-cash process while supporting sales negotiations and providing strategic guidance.

As a Sr. Engineer in the Endpoint Module team, you'll develop and maintain core detection engines for Trend Micro, focusing on C/C++ and Python for Windows/Linux platforms, while employing automation and DevOps practices.

Lead the development and integration of cloud services and platforms, guiding project delivery and architecture within agile teams, while managing data-driven strategies.

Join Trend Micro's Endpoint Engineering Group to ensure security and reliability of build node environments, manage cloud platforms, and enhance CICD pipelines.

The Senior Solutions Engineer will lead technical engagement with enterprise customers, advising on cybersecurity solutions, shaping strategies, and ensuring successful deployments.

Design and implement cloud systems for data processing, apply DevOps practices, build CI/CD pipelines, and collaborate on engineering tasks to enhance identity security.

The Sales Engineer acts as a technical liaison, guiding customers in deploying cybersecurity solutions, enhancing customer success and technical strategy, and providing training to clients and sales teams.

Manage existing customer accounts to protect Gross Revenue Retention (GRR) while driving adoption of the Vision One platform through strategic engagement and account management.

Join the Companion Team to develop backend features for AI applications, ensuring quality and high performance while collaborating with global teams and enhancing workflows.

As an Applied AI Engineer, you will utilize AI to enhance product development in cybersecurity, building prototypes and adapting existing architectures. You should leverage AI tools effectively and be curious about technical details.

The Sr. AI Ops/HR Tech Engineer will develop AI solutions, oversee corporate AI governance, and support JavaScript development while leveraging experience in software engineering and AIOps.

Serve as the technical advisor to DACH partners: design service architectures, run enablement, drive partner growth, coordinate cross-functional teams, and deliver market intelligence to expand managed security services.