jobapplier

Sr. Backend Engineer (AI Threat Analysis Platform)

Trendmicro

Skills

Required

  • Software Engineering
  • backend development
  • incident handling
  • cause analysis
  • backend language
  • microservices development
  • Kubernetes
  • CI/CD pipelines
  • Cloud-based development
  • AWS
  • Azure / GCP
  • Terraform / CloudFormation / Pulumi

Preferred

  • AI inference
  • APIs
  • rate limits
  • retries
  • cost control
  • LLM gateway
  • evaluation
  • tooling
  • Kafka
  • Docker

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 =============================================================== What You’ll Do Own the production operation of the platform end to end, including reliability, availability, performance, and cost

Responsibilities

  • Define SLOs and build monitoring, alerting, and incident response processes; lead on-call response and blameless postmortems
  • Architect and evolve scalable backend systems that orchestrate multi-stage analysis workloads, including AI-driven components, and process results at scale
  • Build and maintain CI/CD pipelines and Infrastructure as Code to enable safe, repeatable releases and rollbacks
  • Monitor and optimize per-request cost across compute and AI inference; build cost visibility and anomaly detection
  • runbooks, capacity planning, load testing, and on-call rotation design that scales beyond a single owner
  • Drive technical decisions on system architecture, technology stack, and infrastructure design

Requirements

  • Champion AI adoption to enhance development workflows and code quality Qualification/Requirement Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field 5+ years of backend development experience delivering and operating production systems at scale Hands-on experience owning production services, including on-call and incident handling through root cause analysis and follow-up actions
  • Proficiency in at least one backend language Hands-on experience with microservices development and Kubernetes deployment Experience designing and managing CI/CD pipelines Cloud-based development experience (AWS preferred; Azure or GCP acceptable)
  • Proficiency in Infrastructure as Code frameworks (Terraform, CloudFormation, or Pulumi) Experience designing observability (metrics, logs, tracing) and defining alerts, not only consuming existing dashboards

Preferred

  • Experience operating services that depend on AI inference or external APIs (rate limits, retries, cost control), including LLM gateway, tracing, and evaluation tooling integrated into CI/CD pipelines Experience with workload isolation or secure execution environments Experience with queue-based or asynchronous processing systems at scale (Kafka, SQS, or similar) Experience with resource estimation, capacity planning, and cost optimization in the cloud
  • Ability to drive cross-team adoption of operational practices such as on-call, SLOs, and postmortems
  • Expertise in containerization (Docker) and DevOps/SRE practices
  • Proficiency with AI development tools (Claude Code, Cursor) Experience in security product or cybersecurity domain =============================================================== 連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World