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臺北市, 臺灣
Onsite
Join Trend ‧ Join New Generation
趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣
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We are seeking a highly motivated and talented (Sr.) DevOps Engineer to join our dynamic team. This role offers a unique opportunity to safeguard the reliability, scalability, and security of multiple TrendAI™ Vision One services — starting with our Observed Attack Techniques, Search, Detection Model Management and Response Management, and expanding to three or more products as our platform grows. If you thrive in a challenging environment, enjoy eliminating toil through automation, and have a passion for running large-scale cloud systems with an AI-native mindset, we want to hear from you!
As a (Sr.) DevOps Engineer, you will build and maintain robust infrastructure and backend services — owning CI/CD workflows, infrastructure-as-code, and DevSecOps practices across the software development lifecycle. You will design and operate monitoring and observability systems for product and service health checks, join on-call rotations to triage and resolve customer-reported issues and service incidents, and bring an overall, big-picture perspective that lets you context-switch fluidly across multiple products.
Key Responsibilities
AI-Native Operations — Master and integrate AI-native tools (e.g., Claude Code, GitHub Copilot, Cursor) into every stage of your workflow. This includes "Prompt Engineering for Engineers" — writing structured, context-rich prompts — and applying context engineering and agentic workflows to produce reliable, production-ready automation and code.
Design, build, and maintain infrastructure-as-code across AWS and Azure using Terraform and CloudFormation.
Drive configuration management and server automation with Ansible.
Operate, scale, and harden containerized workloads on Kubernetes (K8S).
Build and maintain observability — trace logging, metrics, dashboards, and alerting with Grafana — to ensure fast detection and diagnosis of issues.
Manage and optimize managed databases (RDS), ensuring reliability, scalability, and performance.
Automate operational tasks and tooling with shell scripting (and Python / Node.js where applicable).
Identify toil and design and implement automation within the SaaS.
Ensure the performance, availability, and reliability of all servers, services, and microservices; maintain a high SLA.
Provide operational support and automation tools to application developers, including deployments to staging and production environments.
Maintain a strong focus on security and compliance within a cloud environment.
Maintain a strong focus on metrics, measurement, and reporting on and improving service levels.
Join on-call rotations to triage and resolve service incidents.
Context-switch across multiple products (today two, growing to three or more), keeping an overall view of system health and consistently applying shared standards and tooling across them.
Research and implement new technologies and processes with the goal of improving service quality and reducing cost.
What We're Looking For
AI-native workflow — Familiarity with AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) and the ability to maintain consistent AI configurations, establish a repeatable AI-native workflow, and apply context engineering / agent tools (e.g., AI Agent Skills, MCP servers).
At least two years of experience in cloud computing with AWS and/or Azure, including hands-on infrastructure, systems, and application architecture for large-scale, web-based applications.
Experience developing infrastructure-as-code with Terraform and CloudFormation.
Experience with configuration management / automation using Ansible.
Experience operating container solutions (e.g., Docker / Kubernetes).
Strong shell scripting skills for automation.
Experience with observability and troubleshooting using trace logs and Grafana (and similar monitoring / profiling tools).
Experience managing and optimizing relational / managed databases (e.g., RDS).
Experience testing and managing high-availability environments, including regular disaster recovery tests.
Experience with at least one CI/CD tool (e.g., GitLab, Jenkins, GitHub Actions).
Ability to prioritize and operate across multiple products with a strong systems-level, "overall vision" perspective — transparently communicating and justifying time investments.
Strong customer focus, with the ability to provide service to all levels of the organization.
Nice to Have
Hands-on experience with Python and/or Node.js.
Experience driving measurable team-level improvements through AI workflow standardization.
Experience leveraging AI to redefine product capabilities and deliver measurable business impact.
Understanding of secure coding practices and compliance within a cloud environment, including PCI, ISO 27001, and SOC 2.
Culture Fit
Passionate about AI and eager to share knowledge.
Embraces experimentation and continuous learning in a fast-evolving AI landscape.
Comfortable owning and switching across multiple products while keeping a high standard of reliability.
Everyone owns both development and testing — quality is built, not just tested.
Embraces DevOps culture: design, coding, testing, and supporting customer issues.
Good English communication skills, a proactive attitude, strong problem-solving skills, and a willingness to take on challenges.
Effective communicator and reliable team player in agile and cross-functional environments.
Why Join Us?
Build an AI-native operations practice from the ground up and shape how the team integrates AI across the development lifecycle.
Gain broad domain knowledge across multiple products in an industry-leading security ecosystem.
Tackle challenging large-scale reliability and automation problems with a team that values innovation and excellence.
Access strong opportunities for professional growth and learning.
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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World