Sunday - Full Stack Software Engineer, Data Operations Tooling
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Requirements
• Full-Stack Proficiency: 3+ years of building and scaling cloud-native applications with mastery of modern frontend (e.g., React, TypeScript) and robust backend (e.g., Node.js, Python) stacks. • Full-Stack Proficiency: • Operational Mindset: Experience building high-throughput internal tooling or "human-in-the-loop" platforms. • Operational Mindset • UX for Experts: A high bar for building low-friction, data-heavy interfaces. • UX for Experts • Experience as a founding or early hire; able to define roadmaps where no blueprint exists. • Familiarity with synchronized playback. • Experience with marketplace, gig-work, or data-labeling platforms.
Responsibilities
• Memory Developer Systems: Partner with the Data Operations team to build an internal platform that manages thousands of remote memory developers, tracking performance, monitoring hardware health, etc., to ensure a steady, high-quality data stream. • Memory Developer Systems • The Audit Lab: Develop high-performance React interfaces for replaying and verifying human motion data, enabling our team to curate "gold-standard" datasets, from thousands of uploads. • The Audit Lab • Data Ingestion & Orchestration: Architect robust backend services to handle massive amounts of data, ensuring it is ready for audit. • Data Ingestion & Orchestration • Startup Fluidity: While this role focuses on Data Ops, we operate in a high-growth environment. You should be comfortable with shifting priorities and jumping into other parts of the stack as we scale. • Startup Fluidity
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