Senior Backend Engineer (SRE / Reliability & Performance)
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Before you apply
LocationTaipei, Taiwan, Taipei, Taiwan
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size1,001–5,000 people
PostedJul 6, 2026 · 4mo ago
Verified live18h ago
May no longer be actively hiring
Posted by the company on Jul 6, 202675% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
5+ years of experience in backend software development, with hands-on SRE / reliability / infrastructure responsibilities
Proven experience tuning system reliability and performance for production services
Demonstrated experience solving traffic and scalability problems in medium-to-large systems
Ability to build and operate web services on Linux
Proficient in one or more of the following languages: Go / Python / Java / Scala / C++
Good knowledge of Network API design (e.g. REST or GraphQL)
Good understanding of SQL/NoSQL databases (MySQL / PostgreSQL / MongoDB / Redis / etc.)
Hands-on experience with observability tooling (e.g. Prometheus, Grafana, distributed tracing)
Familiar with AWS, GCP, or Azure
Familiar with Git
Proactive, with strong interpersonal and problem-solving skills
BS/MS degree in Computer Science or related field
Technical leadership experience, such as mentoring engineers and facilitating agile processes
Strong skills with profiling and debugging tools, and building high-performance network services on Linux
Experience designing and architecting large-scale distributed systems and implementing distributed algorithms and data structures
Experience with container orchestration (Kubernetes, Docker) and infrastructure-as-code / configuration management (Terraform, Ansible)
Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
Expert in some of the following CS domains: Nginx / HAProxy and load balancing, Caching strategies and data-intensive application design, Monitoring and alerting systems (Prometheus / Nagios), Capacity planning and chaos / resilience engineering, Operation automation, Continuous integration / continuous deployment
Skills
Go
Python
Java
Scala
C++
REST
GraphQL
MySQL
PostgreSQL
MongoDB
Redis
Prometheus
Grafana
AWS
GCP
Azure
Git
Kubernetes
Docker
Terraform
Ansible
Jenkins
GitLab CI
GitHub Actions
ArgoCD
Nginx
HAProxy
Nagios
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
•
Mentor engineers and facilitate agile collaboration across cross-functional teams
•
Participate in on-call rotation to ensure product reliability and scalability
About you
[Minimum qualifications]
•
5+ years of experience in backend software development, with hands-on SRE / reliability / infrastructure responsibilities
•
Proven experience tuning system reliability and performance for production services
•
Demonstrated experience solving traffic and scalability problems in medium-to-large systems
•
Ability to build and operate web services on Linux
•
Proficient in one or more of the following languages: Go / Python / Java / Scala / C++
•
Good knowledge of Network API design (e.g. REST or GraphQL)
•
Good understanding of SQL/NoSQL databases (MySQL / PostgreSQL / MongoDB / Redis / etc.)
•
Hands-on experience with observability tooling (e.g. Prometheus, Grafana, distributed tracing)
•
Familiar with AWS, GCP, or Azure
•
Familiar with Git
•
Proactive, with strong interpersonal and problem-solving skills
Nice to have
[Preferred qualifications]
•
BS/MS degree in Computer Science or related field
•
Technical leadership experience, such as mentoring engineers and facilitating agile processes
•
Strong skills with profiling and debugging tools, and building high-performance network services on Linux
•
Experience designing and architecting large-scale distributed systems and implementing distributed algorithms and data structures
•
Experience with container orchestration (Kubernetes, Docker) and infrastructure-as-code / configuration management (Terraform, Ansible)
•
Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
•
Expert in some of the following CS domains:
•
Nginx / HAProxy and load balancing
•
Caching strategies and data-intensive application design
•
Monitoring and alerting systems (Prometheus / Nagios)
•
Capacity planning and chaos / resilience engineering
•
Operation automation
•
Continuous integration / continuous deployment