Summary
An early-stage technology company is hiring a senior engineer to build a large-scale data delivery platform, own critical architecture decisions, and develop reliable backend services and user interfaces.
Highlights
High-impact founding engineering role with ownership over architecture, large-scale data systems, and end-to-end product delivery.
Description
Senior/Staff Software Engineer (E5/E6) — Data Delivery Infrastructure
About the role
You will drive our end-to-end data delivery platform — the system that turns raw robot data into customer-ready datasets and lands them in customer clouds.
You'll shape the architecture, build the pipeline, operate real customer
deliveries, and keep the system fast and cost-efficient at multi-terabyte scale.
Delivery commitments to customers are hard deadlines, and you'll carry them from pipeline design through final handoff.
What you'll do
Build the delivery platform
- Design and evolve the delivery pipeline end-to-end: dataset querying and selection, quality-based data preparation, conversion into customer-specified formats, and batched delivery with staged progress tracking.
- Build and maintain the services behind it: the delivery orchestration service (FastAPI, Postgres/asyncpg), its integration with our internal data platform, and the operator-facing UI (React/TypeScript).
- Drive compute orchestration on our Kubernetes-based job platform: job definition, container images, retries, reconciliation, and throughput.
- Develop cross-cloud transfer infrastructure spanning multiple providers (AWS, Cloudflare, Alibaba Cloud), including automated customer-bucket synchronization and verified multi-terabyte, cross-region movement.
- Improve efficiency and cost continuously: transfer throughput and parallelism, compute utilization, egress and storage spend, and elimination of redundant work — with per-delivery cost measured and driven down.
Run real deliveries
- Onboard new customers: translate each customer's format, quota, and compliance requirements into a reusable delivery configuration, then land their first delivery end-to-end.
- Execute and monitor production delivery runs: track staged progress, recover stuck or partial runs, reconcile failures, and verify completeness.
- Ensure delivery correctness: conformance to customer specifications, deduplication and eligibility rules, and quota and budget enforcement.
- Act as the engineering point of contact for delivery escalations, debugging from the customer bucket back through the pipeline to source data.
What we're looking for
- 6+ years (E5) / 8+ years (E6) building backend or data infrastructure, with experience taking a production system from design through operation.
- Strong Python and SQL; deep familiarity with Postgres, Kubernetes, and object storage at multi-terabyte scale.
- Operational rigor: you treat delivery deadlines as SLAs and failed runs as incidents.
- A cost-and-efficiency mindset: you profile before you scale, understand what egress, storage, and compute actually cost, and have made a data-heavy system measurably cheaper or faster.
- For E6: a track record of setting technical direction across team boundaries and simplifying systems rather than only extending them.
