Senior Software Engineer, Backend Development (Ad Cloud Serving Services)

1 Month ago • 3-5 Years • Devops

Job Summary

Job Description

Appier is a SaaS company specializing in AI-powered business decision-making. The Ad Cloud Serving Services Team builds and maintains critical, high-concurrency, real-time systems for ad delivery, ensuring stability and low latency. As a Senior Software Engineer, Backend Development, you will lead the design and development of scalable backend services for ad recommendation and infrastructure, drive technical roadmaps, optimize system components for performance, and enhance observability and operational excellence. You will collaborate with product managers and scientists, champion code quality through reviews, mentor junior engineers, participate in on-call rotations, and contribute to continuous improvement through technical discussions and process enhancements.
Must have:
  • 3-5+ years of backend development experience
  • Proficient in Go or Python
  • Strong system design for distributed systems
  • Experience with Network API Design (RESTful, gRPC)
  • SQL/NoSQL database knowledge and optimization
  • Familiarity with DevOps (CI/CD, Docker, Kubernetes)
  • Experience with observability tools (Prometheus, Grafana)
  • Excellent problem-solving and communication skills
Good to have:
  • BS/MS degree in Computer Science
  • Refactoring complex systems and performance improvement
  • Familiarity with A/B testing frameworks
  • Experience deploying ML models in production
  • Ad-tech or recommendation systems experience

Job Details

About Appier 

Appier is a software-as-a-service (SaaS) 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 Ad Cloud  Serving Services Team

At Appier's Ad Cloud Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, ensuring the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation.

Responsibilities

  • Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure.
  • Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
  • Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture.
  • Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs.
  • Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration.
  • Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation.
  • Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies.
  • Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services.
  • Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing.

About You

[Minimum Qualifications]

  • 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
  • Proficient in one or more of the following languages: Go, Python.
  • Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
  • Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
  • Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
  • Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
  • Experience with observability tools (e.g., Prometheus, Grafana) and implementing robust monitoring and alerting.
  • Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

  • BS/MS degree in Computer Science or a related field.
  • Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization.
  • Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration.
  • Hands-on experience with deploying and serving machine learning models in production environments.
  • Exposure to ad-tech or recommendation systems is a plus.

#LI-SW1

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Taipei City, Taiwan (On-Site)

Taipei City, Taiwan (On-Site)

Taipei City, Taiwan (On-Site)

Taipei City, Taiwan (On-Site)

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