---
title: 'Senior Software Engineer, Backend Development (Playable Ads) at Appier'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-development-playable-ads-appier-taipei-sm7vzbnc9pj5'
type: 'job'
last_seen: '2026-11-09'
---

# Senior Software Engineer, Backend Development (Playable Ads) at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2025-09-22
- **Last confirmed live:** 2026-11-09
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/7267131

## Job description

## About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit [www.appier.com](http://www.appier.com/) for more information.

## About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

## What You'll Work On

- Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
- Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
- Implement message-driven communication with high reliability and fault tolerance.
- Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
- Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
- Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
- Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
- Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
- Participate in on-call rotation to ensure product reliability and scalability.

## What We're Looking For

[Minimum qualifications]

- Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
- Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
- Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
- Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
- In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
- Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
- Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
- Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
- Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
- Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

- BS/MS degree in Computer Science or a related field.
- Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
- Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
- Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
- Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English

## #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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