United States
CanadaSoftware Engineer
1 мес. назад
United StatesCanadaWorldwideMiddle
data architectureintegrationsautomationsai agents
Software Engineer role to build data architecture, internal tools, and AI agents for healthcare infrastructure at a .
О компании
- We’re building infrastructure that makes healthcare innovation easier. Our customers already serve 3+ million patients and manage $15+ billion in annual medical spend. Today, we work with leading healthcare groups backed by top Silicon Valley investors such as Sequoia, General Catalyst, Y Combinator, Kleiner Perkins, Stanford, Khosla Ventures, and others. Our mission is to enable more innovation in healthcare—so more patients receive affordable care.
- Our leadership previously founded and led a national digital health company (>$15M raised), with a team of 100+ employees across the US and that sold to a 1,000+-person incumbent. We’re a tight-knit team that’s driven to move fast and take on some of the biggest problems in healthcare and ultimately improve patient lives.
Обязанности
- As our business grows, we're looking for a Software Engineer who will own our internal tools, client-facing products, and infrastructure underlying our operations.
- You'll be our founding offshore engineer, working async with a US-based operations team to build the data architecture, integrations, internal tools, automations, and agents that operations runs on. One month you might stand up a clean data model and sync it across our tools; the next, build an internal console the ops team uses daily; the next, ship an AI agent that drafts, triages, or matches — and earns enough trust to run with light human review. You'll go deep enough to understand each operational workflow, then replace it with a system that runs better without you. Backend and data are the core; you'll build serviceable internal UIs when needed (AI-assisted is fine), with correctness and reliability mattering more than polish
Требования
- Energy and drive; you have a hunger for self-improvement and want to be around the most talented teammates who push you to do so. ( Kobe said it best. )
- Excited by a fast-paced, startup culture where you’ll navigate ambiguity and solve big problems, with very high autonomy.
- Talent for identifying process improvement opportunities and creative ways to better structure operations.
- Interest in working in healthcare and helping healthcare innovation flourish.
Будет плюсом
- Built internal tooling / automations / AI agents in a startup or ops-heavy environment.
- Healthcare, fintech, legal-tech, or another compliance-heavy / operationally intensive domain.
- Full-stack enough to build a serviceable UI when the moment calls for it.
- First / founding engineer experience, or a track record of setting up systems from scratch.
- Several hours of daily overlap with US working hours.
Условия
- Highly competitive salary and stock options (we want you to share in our growth)
- Compassionate, fun, and mission-driven culture of excellence and innovation. (We help companies bring new life-changing care models into the world.)
- Many growth and advancement opportunities (the company is growing fast, so there are many opportunities to step up).
- Hybrid set-up. Preference for either New York or Toronto, but open to elsewhere.
- Paid Time Off: Holidays, vacation days.
- Comprehensive health plans so you feel your best.
- Culture of mentorship, learning, independence, and critical-thinking.
- This role has a preference for Eastern Time (EST) hours (some flexibility there)
Другое
- Own the data architecture — the entities, relationships, and sources of truth behind physician sourcing/matching, client onboarding, PC-MSO structures, and billing state — and keep it clean as requirements change.
- Build and harden integrations between our systems (CRM, e-sign/DocuSign, scheduling, spreadsheets, Google Workspace, our datastore) so data flows reliably instead of by hand — with sane handling of auth, webhooks, rate limits, retries, and idempotency.
- Replace manual ops work with automations and AI agents — and make them observable and trustworthy enough to run with minimal supervision.
- Build lightweight internal tools the ops team uses to run the business; ship serviceable client-facing UI when needed (AI-assisted acceptable, behind a review gate when durable).
- Take an ambiguous operational need from a non-engineer stakeholder, clarify the real requirement, scope pragmatically, ship it, and own it in production — monitoring, fixing, and documenting as you go.
- Instrument the business — the pipelines and definitions behind the metrics and dashboards ops and leadership run on.
- In your first 6-12 months, you will have (outcomes, not activities):
- Stood up a clean, documented data model plus the integrations that keep it current — the trusted source of truth for at least one core domain (e.g., physician supply, client onboarding).
- Shipped at least one automation or agent that removed meaningful recurring manual effort and runs reliably with only light human review.
- Delivered at least one internal tool the ops team uses daily to run the business without you in the room.
- Left systems documented and observable enough that a teammate — or the next engineer — can run and extend them.
- 5+ years building and shipping production backend / data / integration systems, with real ownership (not just closing feature tickets).
- Strong at data modeling and systems design — you design schemas and services that survive changing requirements and messy real-world data.
- Fluent with integrations — third-party APIs, webhooks, auth, rate limits, and the failure modes of syncing systems.
- Pragmatic — you scope to the outcome and ship the right-sized thing; comfortable doing something by hand first, then automating it; you don't gold-plate.
- High-ownership and autonomous — you run independently across a timezone offset, without a manager in the room, and you finish.
- Excellent written communicator in English — you work async, write clear docs and PRs, and translate between ambiguous ops language and technical reality.
- AI-native — you use AI to build faster and to build agents, and you know when to trust it and when to override it. You stay accountable for what ships.
- Trustworthy with sensitive data — you understand why handling healthcare-adjacent PII and legal documents carefully matters.