Sr. Backend Engineer (AI Threat Analysis Platform)

Location: Taipei, Taiwan

Company

hirify.global develops cybersecurity software and operates a global cloud security business.

What you will do

• Own the platform’s production operation, including reliability, availability, performance, and cost.
• Define SLOs, monitoring, alerting, incident response, on-call processes, and blameless postmortems.
• Architect and evolve scalable backend systems that orchestrate multi-stage AI-driven analysis workloads and process results at scale.
• Build and maintain CI/CD pipelines and Infrastructure as Code for safe releases and rollbacks.
• Monitor and optimize per-request compute and AI inference costs, including cost visibility and anomaly detection.
• Establish runbooks, capacity planning, load testing, scalable on-call rotations, and operational excellence practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of backend development experience delivering and operating production systems at scale.
• Hands-on ownership of production services, including on-call response, incident handling, root cause analysis, and follow-up actions.
• Proficiency in at least one backend programming language.
• Hands-on experience with microservices development and Kubernetes deployment.
• Experience designing and managing CI/CD pipelines and cloud-based systems; AWS is preferred, while Azure or GCP is acceptable.
• Proficiency with Infrastructure as Code frameworks such as Terraform, CloudFormation, or Pulumi.
• Experience designing observability through metrics, logs, and tracing, and defining alerts rather than only consuming existing dashboards.

Nice to have

• Experience operating services that depend on AI inference or external APIs, including rate limits, retries, cost control, LLM gateways, tracing, and evaluation tooling integrated into CI/CD.
• Experience with workload isolation or secure execution environments.
• Experience with queue-based or asynchronous processing systems at scale, such as Kafka or SQS.
• Experience with resource estimation, capacity planning, and cloud cost optimization.
• Ability to drive cross-team adoption of on-call, SLO, and postmortem practices.
• Expertise in containerization, Docker, and DevOps/SRE practices.
• Proficiency with AI development tools such as Claude Code or Cursor.
• Experience in cybersecurity or security products.

Culture & Benefits

• Full-time position based in Taipei, Taiwan.
• Focus on operational excellence, blameless incident learning, scalable ownership, and cross-team adoption of reliability practices.
• Emphasis on AI adoption to improve development workflows and code quality.