---
title: 'Senior Backend Engineer (SRE / Reliability & Performance) at Appier'
canonical: 'https://feeny.ai/job/senior-backend-engineer-sre-reliability-performance-appier-taipei-5sg2babdecsm'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Backend Engineer (SRE / Reliability & Performance) at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/8045764

## Job description

## 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](http://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

[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

## #LI-TC1

## About Appier

## Company Overview
- **One-liner**: Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to turn AI into ROI through cutting-edge AdTech and MarTech solutions.
- **Entity Type**: Public (Tokyo Stock Exchange, ticker 4180)
- **Headquarters**: Taipei, Taiwan (with 17 offices globally including San Francisco)
- **Founded**: 2012
- **Founders**: Chih-Han Yu (CEO), Wan-Ling Lee (COO), Ming-Yu Chen (CSO), Chia-Yung Su (CTO), Che-Hsu Chang (CIO)

## Core Business
- **Primary industry**: AI-powered advertising technology (AdTech) and marketing technology (MarTech)
- **Target customers**: B2B – primarily enterprise and SMB businesses seeking AI-driven marketing automation, customer data platforms, and programmatic advertising
- **Mission**: "Making AI Easy" – helping businesses turn Agentic AI into ROI

## Products & Services
- **Ad Cloud**: Performance-driven advertising platform that automates creative testing, audience targeting, and campaign optimization to maximize ROAS.
- **Personalization Cloud**: Cross-channel customer engagement platform that personalizes every touchpoint using real-time AI adaptation (includes AIQUA).
- **Data Cloud (AIRIS)**: AI-powered Customer Data Platform (CDP) that centralizes, segments, and activates data for unified audience intelligence and real-time decision-making.
- **Other tools**: Aictivate (mobile gamer re-engagement), CrossX (advertising solution), BotBonnie (conversational marketing platform), AdCreative.ai (generative AI creative generation).

## Market Standing
- **Valuation/Cap**: Market capitalization not publicly available in the search results; company is listed on the Tokyo Stock Exchange (Prime section since 2025).
- **Key Metrics**: Total funding raised (estimated from disclosed rounds): ~$142M+ (Series A $6M, Series B1 $23M, Series C $33M, Series D $80M). Annual revenue not disclosed.
- **Notable Investors/Partners**: Sequoia Capital, SoftBank Group, LINE Corporation, NAVER, EDBI, AMTD Group, TGVest Capital, HOPU-ARM Innovation Fund, Temasek’s Pavilion Capital, JAFCO Asia/Investment, UMC Capital, TransLink Capital, MediaTek Ventures, Fontaine Capital, UOB Venture Management.
- **Growth Signals**: Expanded from 4-person start-up to 17 offices globally, serves 1,800+ customers, acquired Woopra (2022), BotBonnie, QGraph, Emin, AdCreative.ai; ranked top ROI-driving ad partner by Singular for two consecutive years; moved to TSE Prime listing in 2025.

## Competitive Advantages
- **Deep AI R&D**: 70% of R&D staff hold PhDs or Master’s degrees in AI/Big Data, with 400+ academic publications.
- **Agentic AI Platform**: Autonomous, adaptive agents for advertising, personalization, and data – built on proprietary machine learning, deep learning, and generative AI.
- **Full-funnel coverage**: Combines AdTech and MarTech in a unified AI-native stack.
- **Global footprint with localised expertise**: Strong presence across APAC, Europe, and US enables cross-border scalability.

## Strategic Focus
- **Agentic AI expansion** – further develop autonomous AI agents across advertising, personalization, and data clouds.
- **Global growth** – strengthen presence in US and European markets following recent acquisitions (AdCreative.ai, Woopra).
- **Generative AI innovation** – incorporate generative AI into creative and campaign workflows.
- **Sustainability & governance** – Received “AA” MSCI ESG rating, integrating ESG into operations.

## Why Work Here
- **Culture**: “H-appier” framework – Hungry (ambitious, fearless), Humble (open-minded, adaptive), Happier (direct communication, diversity & inclusion, growth). Strong emphasis on execution excellence and customer centricity.
- **Remote/Hybrid/Office**: 17 offices globally; specific policy not detailed but positions are likely hybrid/office-based depending on role (many engineering jobs listed in San Francisco, Taipei, etc.).
- **Team**: 642 total employees (Built In estimate); engineering roles heavily weighted in AI/ML.
- **Perks & environment**: “Start a career, not a job” – career growth tools, collaborative environment, celebration of wins.

## Sources
1. [appier.com](https://www.appier.com/en/)
2. [appier.com/about](https://www.appier.com/en/about)
3. [appier.com/career](https://www.appier.com/en/about/career/)
4. [greenhouse.io](http://job-boards.greenhouse.io/appier)
5. [builtin.com](https://builtin.com/company/appier)

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