Senior Software Engineer, Backend Development (Playable Ads)
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Before you apply
LocationTaipei, Taiwan, Taipei, Taiwan
Typefull-time
SenioritySenior
DepartmentEngineering
Company size1,001–5,000 people
PostedSep 22, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Sep 22, 202575% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Fluent in English
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
Skills
C#
ASP.NET Core
Java
Go
PostgreSQL
MongoDB
Entity Framework Core
RabbitMQ
Kafka
NATS
Docker
AWS
GCP
Azure
GitHub Copilot
Cursor
ChatGPT
Python
React
LLM
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 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.
Nice to have
[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