(Sr.) DevOps Engineer (OAT & xAPPs)
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Responsibilities
- 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.
Requirements
- 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.
- 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
Benefits
Additional Information
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 =============================================================== 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.
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