Senior Software Engineer, Backend Development(Ad Cloud Serving Services) - Tokyo,Japan
Appier · JP
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About the Role
Appier's Ad Cloud Team Serving Services Team builds and maintains critical systems for advertising technology, handling massive, high-concurrency, real-time requests to ensure stability, low latency, and high performance. SRE professionals are key to guaranteeing service reliability under extreme loads and driving innovation and automation for product availability and performance.
Responsibilities
- Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure.
- Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
- Optimize critical system components for latency, throughput, and resource utilization, including database interactions and network architecture.
- Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting, and refining production SOPs.
- Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration.
- Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation.
- Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies.
- Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services.
- Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing.
Requirements
- 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
- Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
- Solid knowledge of SQL/NoSQL databases and experience with database optimization and scaling strategies.
- Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Experience with observability tools and robust monitoring and alerting implementation.
- Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.
- Demonstrated ability to refactor complex systems, improve performance metrics, and optimize resource utilization.
- Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration.
- Hands-on experience with deploying and serving machine learning models in production environments.
Skills
- Go
- Python
- Network API Design (e.g., RESTful APIs, gRPC)
- Message queues (e.g., Kafka, Pub/Sub)
- MySQL
- MongoDB
- Redis
- ClickHouse
- PostgreSQL
- CI/CD pipelines
- Docker
- Kubernetes
- AWS
- GCP
- Azure
- Prometheus
- Grafana
- Ad-tech
- Recommendation systems
Location
- Tokyo, Japan
Work Type
- Full-time
Experience Level
- Mid-level
Education Level
- BS/MS degree in Computer Science or a related field
Benefits
- Visa sponsorship
About the Company
- Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions.
- Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making.
- Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.