(Sr.) DevOps Engineer (OAT & xAPPs)

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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