Job Overview
Salary
¥9,000,000 - 14,000,000/year
Job Type
Full-time
Japanese Level
None Required
Category
Tech & Engineering
Description
**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:** Design, build, and operate large-scale backend services for real-time and near-real-time data ingestion Own major components or services end-to-end, from design through production operations Improve system reliability, scalability, and cost efficiency under high and unpredictable traffic Collaborate with product, customer success, and other engineering teams to support customer onboarding and growth Participate in on-call rotations and take ownership of production issues and incident follow-ups Use metrics, monitoring, and data to guide engineering decisions Contribute clean, well-tested code and actively participate in design and code reviews Mentor junior engineers and raise the technical bar of the team through example Requirements Have 3+ years of professional software engineering experience (or equivalent practical experience) Have built and maintained backend or distributed systems at scale Understand reliability, availability, and failure modes in production environments Are comfortable owning services with real customer and business impact Write clear, maintainable, and well-tested code Communicate effectively in a distributed, global team Are comfortable working primarily with Kotlin and Java , and open to learning new tools and technologies Have experience with cloud platforms such as AWS Business-level English proficiency Nice to haves While not specifically required, tell us if you have any of the following. Experience with streaming or real-time data systems (Kafka, Kinesis, Flink, Spark) Experience scaling systems by 3–5× or more Familiarity with infrastructure as code, observability, or CI/CD Open-source contributions 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:** Have 3+ years of professional software engineering experience (or equivalent practical experience) Have built and maintained backend or distributed systems at scale Understand reliability, availability, and failure modes in production environments Are comfortable owning services with real customer and business impact Write clear, maintainable, and well-tested code Communicate effectively in a distributed, global team Are comfortable working primarily with Kotlin and Java , and open to learning new tools and technologies Have experience with cloud platforms such as AWS Business-level English proficiency **Nice to have:** While not specifically required, tell us if you have any of the following. Experience with streaming or real-time data systems (Kafka, Kinesis, Flink, Spark) Experience scaling systems by 3–5× or more Familiarity with infrastructure as code, observability, or CI/CD Open-source contributions 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
- Have 3+ years of professional software engineering experience (or equivalent practical experience)
- Have built and maintained backend or distributed systems at scale
- Understand reliability, availability, and failure modes in production environments
- Are comfortable owning services with real customer and business impact
- Write clear, maintainable, and well-tested code
- Communicate effectively in a distributed, global team
- Are comfortable working primarily with Kotlin and Java , and open to learning new tools and technologies
- Have experience with cloud platforms such as AWS
- Business-level English proficiency
