Staff Engineer - Realtime and Personalization at ARM Treasure Data

Tokyo, Tokyo, Japan -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ruby on Rails, Kotlin, TypeScript, AWS, DynamoDB, MemoryDB, AI, Machine Learning, Backend Development, Distributed Systems, Web APIs, Serverless Applications, Code Review, Mentoring, Communication, Observability, Security

Industry

Software Development

Description

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 to deliver powerful business outcomes. We are thrilled that Forrester has recognized Treasure Data as a Leader in The Forrester Wave™: Customer Data Platforms For B2C. It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. Furthermore, Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility. Your Role We are looking for a Staff Engineer to join our high-performing team working at the intersection of our Realtime Engine and AI Personalization products. This is a pivotal moment for our platform: you will help drive the technical direction as we build an AI-native system, developing true, industry-leading systems that empower marketers to build in new ways. In this role, you will act as a high-level individual contributor and technical anchor within a squad-based model. You will work across a hybrid environment utilizing Ruby on Rails and Kotlin for core services and TypeScript (AWS Lambda) for high-scale, serverless execution. You will drive the design of distributed systems that allow our AI Personalization suite to operate in real-time, ensuring high availability and reliability. What You Will Do: Drive technical design, specifications, and implementation for the Personalization and Realtime engine. You will build and maintain robust backend APIs using Ruby on Rails and scalable serverless functions using TypeScript on AWS Lambda, MemoryDB and DynamoDB. Architect and refine complex distributed systems on AWS, ensuring they can handle high-throughput real-time data processing with low latency using complex data access patterns using DynamoDB and MemoryDB. Ensure success in our effort to integrate AI Agent creation and execution capabilities into our core platform. You will build the infrastructure that allows agents to act intelligently within the stack. Partner with Product Managers and Engineering Managers in a squad model to deliver projects on time. You will break down complex requirements into executable engineering tasks, and optionally serve as a tech lead for a squad. Elevate the engineers around you. You will mentor Senior and mid-level engineers, modeling best practices in code review, design patterns, and operational excellence. Build with a mind toward scalability, observability, and security. You will join the on-call rotation and treat production operations as a first-class citizen. About You: 8+ years of software engineering experience, with a proven track record of delivering complex backend systems in production environments. Significant experience writing high-performance Web APIs in frameworks like Ruby on Rails or Kotlin and building serverless applications (bonus points for using TypeScript.) Deep familiarity with AWS (Lambda, API Gateway, Kinesis, DynamoDB, RDS) and experience architecting distributed systems. Experience or strong interest in integrating AI/ML workflows into a backend architecture (e.g., working with LLM APIs, agent orchestration, or personalization engines). You possess deep production experience with DynamoDB and in-memory stores like MemoryDB (Redis). You are comfortable modeling data for high-scale, non-relational access patterns. (Familiarity with SQL patterns is expected, but NoSQL is our primary driver). You have a history of mentoring other engineers, conducting insightful code reviews, and elevating the technical bar of your team. Strong written and verbal communication skills. You are comfortable working with distributed teams across different time zones (specifically bridging North America and Japan) and promoting an async-first workflow. Business-level English proficiency is required. You can effectively communicate complex technical concepts to non-technical stakeholders. Bonus Points Not required, but nice to have: Experience with Event-Driven Architectures and real-time data processing. Experience with AI frameworks (LangChain, etc.) from an infrastructure/integration perspective. What We Offer Opportunities for leadership growth, technical mentorship, and introducing new processes. Work with specialists in varied fields—from designers to product managers—to make a powerful product used by major international companies. A flexible and exciting work environment with a hybrid model and competitive benefits. Physical Requirements: 3 days at Treasure Data Office About Treasure Data: Treasure Data is the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI. Recognized as a Leader by Forrester and IDC, Treasure Data empowers the world’s largest and most innovative companies to deliver hyper-personalized customer experiences at scale that increase revenue, reduce costs, and build trust. Through unique capabilities such as the Diamond Record, AI Agent Foundry, and AI Decisioning with Real-Time Personalization, Treasure Data enables marketing and CX teams to personalize cross-channel engagement in real-time, optimize marketing spend while increasing ROI, and drive customer lifetime value through more intelligent retention and loyalty. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

Responsibilities

The Staff Engineer will drive the technical design and implementation for the Personalization and Realtime engine, building robust backend APIs and scalable serverless functions. They will also mentor other engineers and ensure high availability and reliability of the systems.