Senior Software Engineer, Worker Platform

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.

Treasure Data builds a Programmable Platform to efficiently enable and scale Customer-centric Data Platform applications across a range of verticals from automotive, to CPG, and even finance. The Backend team and Core Services group build and manage our primary control plane, orchestration systems, computation layer (Trino, Hive), streaming ingestion, and data lake. We are looking for an experienced, innovative, customer-obsessed software engineer to join our core service group to enhance and maintain the workflow component. You will be working on a key orchestration component in the workflow team.

As a Senior Software Engineer on the Worker Team, you will be an owner of the highly available, distributed platform that executes millions of jobs daily for our customers. Your responsibilities will include:

• Designing, building, scaling, and maintaining the core services that power the Worker Platform, prioritizing reliability, high availability, resilience, and performance, while optimizing for cloud costs.
• Leading the modernization and simplification of complex legacy systems to improve maintainability and developer velocity.
• Leading and participating in system design discussions to help the team make the right tradeoffs for a large-scale, multi-tenant, distributed system.
• Collaborating with Tech Leads, Product Managers, and engineers from other teams (like Plazma, Integrations, and SRE) to break down complex projects into deliverable milestones.
• Mentoring and coaching other engineers through pairing, constructive code reviews, and technical discussions.
• Proactively identifying and solving platform challenges, contributing to the team's operational excellence and long-term roadmap.
• Improving our engineering standards, tooling, and CI/CD processes, ensuring we can deliver value safely and quickly.

Your experience and skills will include:

• A minimum of 5 years of professional experience building and operating large-scale, distributed systems in production.
• Strong software engineering fundamentals and proficiency in our primary languages (we use JVM languages like Kotlin and Java, as well as Ruby).
• Deep experience with cloud infrastructure (AWS preferred) and operating services in an API-driven, virtualized environment.
• Deep understanding of container orchestration with Kubernetes (EKS), specifically around resource management, scheduling, and autoscaling patterns.
• Strong background in Observability (e.g., Datadog, CloudWatch) to diagnose bottlenecks and drive data-driven decisions.
• Excellent communication and collaboration skills, with the ability to work effectively across time zones and language barriers.
• A proven ability to work both independently and collaboratively as part of a high-performing team.

We would be thrilled if you had:

• Experience working in highly distributed teams, across large time zone differences.
• A deep understanding of the common failure modes in complex, distributed systems and experience conducting Root Cause Analysis (RCA).
• Proven track record of optimizing cloud infrastructure costs (FinOps mindset).
• Are a student of complex systems theory and how to build resilient and adaptive systems.
• An interest in or experience with applying GenAI/LLMs to improve developer productivity.
• Have read and enjoyed books like “Designing Data-Intensive Applications”, “The Staff Engineer's Path”, “Nonviolent Communication”, “High Output Management”, or “Systems Performance: Enterprise and the Cloud”.

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.