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Senior Backend Software Engineer - Ad Cloud Serving Services

AppierTaipei, Taiwan
On-site Full-time

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Experience Level

Senior

Qualifications

We are looking for candidates who possess: A strong background in backend development with experience in building scalable systems. Proficiency in programming languages such as Java, Python, or Go. Experience with database management and optimization techniques. Familiarity with cloud services and microservices architecture. Strong problem-solving skills and a collaborative mindset.

About the job

About Appier

Appier is a leading software-as-a-service (SaaS) firm leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the goal of democratizing AI, Appier’s mission focuses on converting AI capabilities into tangible returns on investment by making software more intelligent. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Learn more at www.appier.com.

About the Ad Cloud Serving Services Team

The Ad Cloud Serving Services Team at Appier is responsible for developing and maintaining vital systems that form the backbone of our advertising technology. Our systems manage extensive, high-concurrency, real-time requests, ensuring stability, low latency, and high performance in ad delivery. Our Site Reliability Engineering (SRE) experts play a crucial role in maintaining the reliability of these services under heavy loads, continuously improving product availability and performance through innovation and automation.

Key Responsibilities

  • Lead the design and development of scalable, high-performance backend services focused on real-time ad recommendations, data serving, and core ad tech infrastructure.
  • Drive the technical roadmap and ownership for significant projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
  • Optimize essential system components for latency, throughput, and resource utilization, including interactions with databases (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture.
  • Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring and alerting solutions (e.g., Grafana, Prometheus), and refining production standard operating procedures.
  • Collaborate closely with product managers and other stakeholders to align development efforts with business goals.

About Appier

Appier is at the forefront of AI-driven business solutions, revolutionizing how companies utilize technology to make informed decisions. Our commitment to innovation and excellence has positioned us as a trusted partner for organizations seeking to leverage AI for real-world impact.

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