Staff Software Engineer, Data Backend - Tokyo, Japan
The Staff Software Engineer, Data Backend position at Appier is a senior role situated in the Tokyo, Japan office, focusing on advancing Appier’s AI-based solutions for enterprise clients. Appier is an established technology company specializing in artificial intelligence and data-driven products aimed at helping businesses improve digital marketing and decision-making. As a key member of the data backend team, the successful candidate will work with talented engineers and researchers to develop scalable data-driven systems.
The primary responsibilities involve designing and developing robust backend infrastructure capable of handling large-scale data processing, storage, and analytics. Day-to-day activities include optimizing data pipelines, collaborating with product and engineering teams to deliver features, managing core data backend architecture, ensuring system reliability, and supporting product deployments. The role also requires troubleshooting complex technical issues and contributing to architectural planning.
Candidates must possess a strong background in computer science, software engineering, or a related field. Proficiency in backend programming languages such as Python, Java, or Scala is expected, as well as experience with distributed data processing frameworks like Hadoop or Spark. Familiarity with both cloud-based and on-premises big data systems, strong problem-solving skills, and a track record of delivering production-level systems are essential. Previous experience in mentoring or leading engineering teams is highly valued.
Appier offers a competitive benefits package, which typically includes health and wellness coverage, travel opportunities, and flexible working arrangements. The company values employee growth, offering regular training and development programs tailored to technical and personal growth needs.
Appier’s work environment promotes innovation, cross-functional collaboration, and continuous learning. Joining the Tokyo team means the chance to work on challenging, impactful problems in AI and big data, with opportunities for career advancement in a dynamic global company.