Staff Engineer - Realtime and Personalization
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Overview
Treasure Data:
At Treasure Data, we’re on a mission to radically simplify how companies use data and AI to create connected customer experiences. Our intelligent customer data platform (CDP) drives revenue growth and operational efficiency across the enterprise. Recognized as a Leader in The Forrester Wave™: Customer Data Platforms, we are advancing the industry with cutting-edge AI and real-time capabilities.
Your Role
We are looking for a Staff Engineer to join our high-performing team in Tokyo. This is a pivotal role working at the intersection of our Realtime Engine and AI Personalization products. You will act as a technical anchor, driving the design of distributed systems that allow our AI Personalization suite to operate in real-time with high availability and reliability.
Responsibilities
- Technical Design: Drive specifications and implementation for the Personalization and Realtime engine using Ruby on Rails, Kotlin, and TypeScript (AWS Lambda).
- Distributed Systems: Architect complex systems on AWS to handle high-throughput data processing using MemoryDB and DynamoDB with low latency.
- AI Integration: Lead the effort to integrate AI Agent creation and execution capabilities into our core platform, building the infrastructure for intelligent agents.
- Squad Leadership: Partner with PMs and EMs to break down requirements into executable tasks, serving as a technical lead and mentor for senior and mid-level engineers.
- Operational Excellence: Champion scalability, observability, and security, treating production operations and on-call rotations as top-tier priorities.
About Treasure Data
Experience: 8+ years of software engineering experience with a proven track record in complex backend systems.
Technical Depth: Significant experience with high-performance Web APIs and serverless applications. Deep expertise in NoSQL data modeling (DynamoDB/MemoryDB) is essential.
AWS Mastery: Deep familiarity with AWS services (Lambda, API Gateway, Kinesis, RDS).
AI/ML Interest: Experience or strong interest in integrating AI/ML workflows, such as agent orchestration or LLM APIs, into backend architectures.
Communication: Business-level English proficiency with the ability to bridge distributed teams across North America and Japan in an async-first workflow.
Bonus Points
Experience with Event-Driven Architectures.
Knowledge of AI frameworks like LangChain from an infrastructure perspective.
Tech Stack Summary
Languages: Ruby on Rails, Kotlin, TypeScript
Infrastructure: AWS Lambda, API Gateway, Kinesis
Storage: DynamoDB, MemoryDB (Redis), RDS
Concepts: Real-time Personalization, AI Agents, Distributed Systems
Work Environment & Benefits
Hybrid Model: 3 days per week at the Treasure Data Tokyo Office.
Incentives: Opportunities for leadership growth, competitive benefits, and working with world-class specialists.
Culture: Dedicated to diversity, equity, and inclusion, ensuring every voice is heard and amplified.
Quick Facts
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