As a core member of the Messaging Platform team, you will design, implement, and operate scalable backend services that process billions of messages daily.
About this role
This senior/staff backend engineering role sits within LINE's Messaging Platform team, responsible for designing, implementing, and operating highly scalable and reliable backend services that handle tens of billions of messages per day across the LINE ecosystem. Responsibilities include leading the design of scalable backend features and APIs, architecting distributed systems for scalability and fault tolerance, collaborating with Product, SRE, and Security teams, driving improvements to test automation, monitoring, and incident response, mentoring engineers, and shaping long-term technical architecture and standards. The role may include on-call responsibilities for 24/365 service availability. Candidates need demonstrated experience architecting distributed systems in high-traffic environments, strong proficiency in Java, Kotlin, or Scala, experience leading complex cross-functional projects, and fluency in written and spoken English or Japanese. Preferred experience includes Redis, MongoDB, Apache Kafka, SRE practices, security engineering, CI/CD, Prometheus/Grafana/Elasticsearch observability tooling, and Kubernetes.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design, implement, and operate scalable backend services for processing billions of messages daily across the LINE ecosystem.
Leads technical discovery, solution design, demonstrations and proof-of-value work for enterprise machine-identity security, advising customer teams on PKI, certificates and cloud-native environments.
Lead AWS and on-premises network design, operations, improvement, and incident response for financial-institution services while coordinating security, vendors, and standards.
Build and operate Linux, network and monitoring infrastructure for digital trust services, combining on-premises security systems with supporting cloud platforms.
Design and implement AI, LLM, RAG, and data solutions for enterprise management challenges, from customer discovery and PoC through evaluation, operations, and product improvement.