Sr. Backend Engineer (AI Threat Analysis Platform)

Job description

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 =============================================================== What You’ll Do Own the production operation of the platform end to end, including reliability, availability, performance, and cost 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 Establish operational excellence practices: 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 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 Nice to Have 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