Backend Engineer

About Appier

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of "Making AI Easy by Making Software Intelligent," Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

Engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users—operating at scale where every millisecond and every nine of availability matters. As a Senior Backend Engineer (SRE / Reliability & Performance), you will sit at the intersection of backend development and site reliability engineering: designing and building scalable, performant backend services while owning the reliability, observability, and performance characteristics of large-scale, high-traffic systems (QPS > 10k). You will profile and tune systems end to end, lead the response to production incidents, and drive the engineering practices that keep our services fast and resilient as traffic grows. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan.

Responsibilities

• Design and build scalable, reliable, and maintainable backend services and the components that support them
• Own system reliability and performance for high-traffic services, including SLO/SLA definition, error budgets, and capacity planning
• Profile, benchmark, and tune critical components to resolve latency, throughput, and scalability bottlenecks in medium-to-large systems (QPS > 10k)
• Diagnose and solve production traffic problems—load spikes, hot paths, resource contention, and cascading failures
• Lead system design and provide technical guidance on reliability and performance trade-offs
• Continuously improve observability (logging, metrics, tracing), incident management, DevOps, and production operational SOPs
• Lead incident response, troubleshooting, and blameless post-mortems, then drive the follow-up engineering work
• Build and optimize CI/CD pipelines and deployment automation to ship safely and frequently
• Lead code reviews to ensure high quality coding and operational standards