Full Stack Engineer, Data Operations Tooling
About The Position
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you. What to Expect Data is our lifeblood. We use AR headsets and Skill Capture GlovesTM to capture human motion at scale, and your role as a Full Stack Engineer for Data Operations is to grow the platform that manages this pipeline, from tracking thousands of memory developers across the globe to building the high-fidelity tools used to audit, filter, and qualify hundreds of hours of data per day.
Requirements
- Full-Stack Proficiency: Expert-level TypeScript/Python and React.
- Operational Mindset: Experience building high-throughput internal tooling or "human-in-the-loop" platforms.
- UX for Experts: A high bar for building low-friction, data-heavy interfaces.
Nice To Haves
- 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.
- 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.
- Data Ingestion & Orchestration: Architect robust backend services to handle massive amounts of data, ensuring it is ready for audit.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
