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Appier

AI-powered ad tech and marketing SaaS

Senior Software Engineer - Data Backend, Ad Cloud

Backend EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Computer Science.
  • At least 5 years of experience building and operating large-scale distributed systems or applications.
  • Experience in Kubernetes development and Linux/Unix.
  • Experience managing a data lake or data warehouse.
  • Expertise developing data structures and algorithms on Big Data platforms.
  • Ability to operate effectively and independently in a dynamic, fluid environment.
  • Ability to work in a fast-moving team environment and manage multiple tasks and projects.

Responsibilities

  • Design, develop, and maintain RESTful APIs using Python.
  • Build and manage data warehouses using ClickHouse, Trino/Presto, and Pinot.
  • Design and develop data pipelines using Apache Airflow and Apache Spark.
  • Work with cross-functional teams to develop automation tools that streamline daily operations.
  • Implement monitoring and alerting systems to ensure system performance and stability.
  • Address application queries in a timely and effective manner.
  • Use cloud platforms such as AWS and GCP to optimize data operations.
  • Use Kubernetes for container orchestration and efficient application deployment and scaling.

Desired Qualifications

  • Experience working with ClickHouse.
  • Contributions to open source projects; include a GitHub link.
  • Experience working with Python, Scala, or Java.
  • Experience with Hadoop, Hive, Flink, Presto/Trino, and related big data systems.
  • Experience with public cloud platforms such as AWS or GCP.

About the Company

Appier

AI-powered ad tech and marketing SaaS

Appier is an AI-native SaaS company that provides advertising and marketing technology for businesses. Its Ad Cloud automates targeting and optimization, the Personalization Cloud delivers real-time cross-channel experiences, and the Data Cloud (AIXON) unifies data sources to generate actionable audience insights. The platform combines these capabilities into a single ecosystem, strengthened by a series of acquisitions to cover the full marketing funnel. Its goal is to help businesses acquire customers, engage them effectively, and convert more through data-driven decisions and AI-powered automation.

Company size
501-1,000
Company stage
IPO
Headquarters
Taipei, Taiwan
Founded
2012

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