Software Engineer, Data Backend

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. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of Appier's AI-powered platform.

Responsibilities include:

• Designing, developing, and maintaining data pipelines
• Building, managing, and optimizing data platforms (e.g., Spark clusters, Kafka clusters)
• Profiling and tuning performance of critical components
• Providing expert advice and solutions to enhance the performance of big data systems and applications
• Establishing and improving the foundational architecture for platforms

Minimum qualifications:

• BS/MS degree in Computer Science
• 2+ years of experience in building and operating large-scale distributed systems or applications
• Experience in developing Java/Scala projects
• Experience in building data pipelines using Apache Spark
• Experience in managing data lake or data warehouse
• Expertise in developing data structures and algorithms on top of Big Data platforms

Preferred qualifications:

• Experience in developing Golang/Python projects
• Experience in profiling and optimizing JVM performance
• Experience in managing data platforms (Hadoop, Kafka, Flink, Trino/ClickHouse, etc.)
• Experience in cloud services (AWS, GCP, Azure)
• Experience in contributing to open source projects
• Experience in open table formats (Apache Iceberg, Delta Lake, Hudi)

Join Appier to be part of a dynamic team working on cutting-edge AI technologies and big data solutions. This role offers the opportunity to work on challenging problems at scale and contribute to the development of innovative AI-powered business solutions.