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.

About the Role:

At Treasure Data, our mission is to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a safe, flexible, and secure way. With Treasure Data Customer Data Cloud, companies can responsibly collect and understand massive amounts of data, transform their businesses, and create new, targeted experiences across the entire buying journey. We are proud to be InfoWorld’s 2022 “Technology of the Year” Award winner and trusted by leading companies around the world, spanning the Fortune 500 and Global 2000 enterprises.

Treasure Data builds a programmable platform to efficiently enable and scale customer-centric data platform applications across various verticals, from automotive to CPG and finance. We are looking for an experienced, innovative, customer-obsessed software engineer to join our core service group to enhance and maintain the Real-Time Engine component. Join our Real-Time team to empower our customers by enabling automated triggering of activations and other events. If you're passionate about leveraging technology to drive customer engagement and innovation, apply now to be part of our dynamic team and shape the future of customer experiences!

Responsibilities & Duties:

• Develop and operate high-throughput near-realtime distributed data processing systems written primarily in Kotlin.
• Ensure the high availability, reliability, and scalability of our core data ingestion service, proactively identifying and resolving system bottlenecks.
• Collaborate with other engineering teams as well as product and customer success to address customer pain points and improve our services.
• Provide technical feedback to other engineers, fostering a culture of continuous learning and improvement through code reviews and design discussions.
• While the primary focus is on data pipelines, you may occasionally contribute to the team's Ruby on Rails business applications.
• Stay current with industry trends and advancements in distributed systems and data processing to drive innovation within the team.

Required Qualifications:

You are a pragmatic engineer with a passion for building and running robust, scalable distributed systems. You have hands-on experience with the complexities of processing massive amounts of data in a real-world, production environment and are motivated by the challenge of optimizing for performance and reliability.

• A BS or higher in Computer Science or a related field, or equivalent work experience.
• 5+ years of professional software development experience, with a strong background in a language like Kotlin, Java, Scala.
• Proven, hands-on experience building, and operating distributed data processing pipelines in a production environment.
• Real-world operational experience with data processing frameworks like Apache Flink, Spark, or similar.
• Solid experience running services in a public cloud environment, particularly AWS.
• A strong understanding of the software development life cycle and agile methodologies.
• Familiarity with streaming data platforms such as AWS Kinesis or Apache Flink is a strong plus.
• While not a primary focus, some experience with or a willingness to learn Ruby on Rails for work on business applications is beneficial.
• Proven ability to work collaboratively in multi-functional, distributed teams.

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!