Senior Cloud Platform Engineer (DevOps & Integrations)

**Location**: Remote, United States (must be legally authorized to work in the US and reside in the US) **Type**: Full-time (W-2 employee) **Compensation**: $150,000–$185,000 base, depending on experience and location + meaningful early-stage equity **About Toi Labs** Toi Labs builds in-home health monitoring that works because nobody has to think about it. Our flagship product, TrueLoo®, is an AI-powered smart toilet seat that optically scans and analyzes waste to surface health signals such as dehydration, GI bleeding, UTI risk, and constipation, without asking anyone to change their behavior. TrueLoo® is deployed across senior living communities today, where it helps care staff catch problems early instead of after an ER visit. We were named to TIME's Best Inventions, and we're backed by leading bathroom-fixture manufacturers and the NIH. **About the role** You will own our cloud platform: the AWS infrastructure, the data pipelines, and the integrations that connect TrueLoo® to the systems our customers and our own team rely on, from design through deployment and on-call. Data flows from a fleet of devices in real bathrooms, through cloud processing, into the datasets our ML team trains on, the alerts care staff act on, and the external systems that need to hear about it. Keeping that chain reliable, secure, and well connected will be yours. This is a high-autonomy role on a small team. If you want a clear backlog handed to you, this isn't it. If you want to be the person who decides how the system works, it is. **Reports to**: Software (ML and firmware) Lead. **What you'll do** * Design, build, and operate our AWS infrastructure and backend services, defined in infrastructure-as-code * Own CI/CD, observability, alerting, and on-call, and lead incident response when something breaks * Build and maintain the pipelines that move device images and telemetry from the field into AWS and Snowflake for analysis, ML datasets, and customer-facing alerts * Build integrations with external systems, such as customer EHR/EMR and care-management platforms and partner APIs, and with our internal tools * Keep the fleet healthy from the cloud side: device provisioning, software releases through our fleet-management platform, remote diagnostics, and handling devices that drop offline on networks we don't control * Bring security, access control, and audit discipline to a system that handles health data, and contribute to the documentation supporting our clinical work and FDA pathway **What we're looking for** * 5+ years of professional experience building and operating production cloud systems (AWS preferred) * 5+ years writing production Python: services, APIs, and data pipelines, not only scripts * Strong DevOps fundamentals: CI/CD, infrastructure-as-code, observability, alerting, and real on-call experience * Experience building and maintaining integrations with third-party systems and APIs, including retries, idempotency, and messy data * Solid grounding in networking and security practices * Production experience with PostgreSQL or a comparable OLTP database * A track record of owning projects end to end without close supervision, and of picking up unfamiliar technology quickly when a project demands it * Clear written communication, since most of our coordination happens asynchronously * Genuine interest in health technology, and comfort with the pace and ambiguity of an early-stage company **Nice to have** Any of these will make your application stand out; none are required. * Experience as the first or only infrastructure engineer at a startup * Healthcare interoperability: HL7, FHIR, or EHR integrations * Regulated environments such as HIPAA, SOC 2, medical devices, FDA design controls, or IEC 62304 * Data warehousing and modeling (Snowflake, dbt) * Event streaming and queues (Kafka, Kinesis, SQS) * Managing connected devices in the field: provisioning, OTA updates, remote diagnostics * Image or video data pipelines **About the "5+ years"** This role requires someone who has already operated production systems through a few painful incidents. If your professional experience is primarily internships or under two years post-graduation, this particular opening won't be a fit, but we'd still like to hear from you as we grow. **What we offer** * Base salary of $150,000–$185,000, depending on experience and location, plus meaningful early-stage equity * 401(k) match * Health insurance reimbursement (via QSEHRA) * Flexible PTO policy * Fully remote within the US. We'll ship a TrueLoo® test unit and fixtures to you, a real device on your bench, not a simulator * Travel opportunities to Tokyo * Real ownership: you are the cloud platform function, not a ticket-taker * Work at the intersection of hardware, artificial intelligence, machine learning, and clinical outcomes, on a product that measurably changes how older adults are cared for **How we hire** * 30-min intro call * Technical conversation with our engineering lead (systems design, no whiteboard algorithms) * Practical exercise, time-boxed and paid * Final conversations with the founding team * Offer We aim to move from first call to decision in under three weeks. *Toi Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are not able to sponsor employment visas for this role at this time.*