Contribute to building scalable backend systems and participate in service operation activities to ensure reliable and high-performing distributed services.
About this role
This role sits in Appier’s Ad Cloud Serving Services team, building the high-concurrency systems behind real-time ad recommendation, data serving, and ad delivery. It designs and develops scalable backend services, owns sizable technical projects, and improves reliability, latency, throughput, and resource use across the Ad Cloud ecosystem.
Work includes MongoDB sharding and ClickHouse optimization, network and API design with RESTful APIs or gRPC, and data pipelines using Kafka or Pub/Sub. The engineer implements monitoring and alerting with Grafana and Prometheus, supports incident management and production procedures, and uses Docker, Kubernetes, CI/CD, and cloud platforms such as AWS, GCP, or Azure. Applicants need 3–5+ years of backend development experience with high-performance, high-concurrency systems, proficiency in Go or Python, system-design experience for scalable distributed systems in Linux, knowledge of SQL/NoSQL database scaling and DevOps practices, and strong cross-functional communication.
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