Staff Fullstack Engineer - Realtime and Personalization

**About the company:** Treasure Data Minato-ku, Tokyo Treasure Data is the only enterprise Customer Data Platform that harmonizes an organization’s data, insights, and engagement technology stacks to drive relevant, real-time customer experiences throughout the entire customer journey. **Responsibilities:** Drive the end-to-end technical architecture for our product features. You will make high-stakes technical decisions that balance speed of delivery with long-term maintainability. Ensure a focus on outcomes and ensure your squad is unblocked whether it is frontend or backend code and provide technical guidance to your peers. Deeply focus on design across the entire stack. You will weigh in on how React applications should be structured even if you are working on the backend to ensure consistency across the entire stack and unblock every engineer in your squad. 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. You may 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. Requirements 8+ years of software engineering experience, with a strong track record of shipping complex products. Deep proficiency in backend development (experience with Ruby, Go, Java, or Kotlin is preferred). You understand database design, and API scalability and as a strong bonus have dealt with distributed systems or LLMs in production. You have strong architectural knowledge of the React ecosystem. You may prefer backend work, but you understand how to build a frontend architecture that is modular and testable and are able to mentor engineers in React best practices. You thrive in agile, collaborative environments. You are a driver—you identify blockers and remove them. Business-level English proficiency is required. You can effectively communicate complex technical concepts to non-technical stakeholders. Nice to haves While not specifically required, tell us if you have any of the following. Experience building or integrating Generative AI/LLM solutions into production workflows, especially with agents. Experience with Ruby on Rails is a significant plus. Experience with distributed systems. Experience working in global teams, coordinating with engineers in different time zones. APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION Meet Treasure Data's Developers Scaling ML Algorithms for Enterprise with David Landup David discusses how he enjoys switching hats between ML and software, and why he finds Treasure Data’s “extensive ecosystem” so much fun. Read their story... Overcoming Imposter Syndrome at Treasure Data with Tyler Welsh Tyler is a software engineer at Treasure Data working on their Data Clean Room product. He talks about how Treasure Data supports their team’s learning and growth, and how they invest in the quality and performance of their services. Read their story... **Requirements:** 8+ years of software engineering experience, with a strong track record of shipping complex products. Deep proficiency in backend development (experience with Ruby, Go, Java, or Kotlin is preferred). You understand database design, and API scalability and as a strong bonus have dealt with distributed systems or LLMs in production. You have strong architectural knowledge of the React ecosystem. You may prefer backend work, but you understand how to build a frontend architecture that is modular and testable and are able to mentor engineers in React best practices. You thrive in agile, collaborative environments. You are a driver—you identify blockers and remove them. Business-level English proficiency is required. You can effectively communicate complex technical concepts to non-technical stakeholders. **Nice to have:** While not specifically required, tell us if you have any of the following. Experience building or integrating Generative AI/LLM solutions into production workflows, especially with agents. Experience with Ruby on Rails is a significant plus. Experience with distributed systems. Experience working in global teams, coordinating with engineers in different time zones. APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION Meet Treasure Data's Developers Scaling ML Algorithms for Enterprise with David Landup David discusses how he enjoys switching hats between ML and software, and why he finds Treasure Data’s “extensive ecosystem” so much fun. Read their story... Overcoming Imposter Syndrome at Treasure Data with Tyler Welsh Tyler is a software engineer at Treasure Data working on their Data Clean Room product. He talks about how Treasure Data supports their team’s learning and growth, and how they invest in the quality and performance of their services. Read their story...