Senior Software Engineer, Clinical

๐Ÿข ECP ยท all ECP jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Software-Engineer,Clinical-Software-Engineering,Healthcare-Software-Development,Fullstack-Development,Senior-Healthcare-Software-Engineer,Senior-Clinical-Solutions-Engineer,Senior-Software-Engineer-In-Healthcare,Senior-Software-Engineer-Healthcare-Applications,Senior-Software-Engineering-In-Healthcare,Senior-Healthcare-Systems-Engineer
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About ECP

ECP is a market-leading SaaS solution that enables senior living communities to better care for their residents. ECP is used in over 8,000 communities. We're looking to further expand by increasing the number of customers that use our software and increasing the scope of how we serve our customers by developing and releasing new products.

Senior living is deeply under-penetrated with software and ECP is one of the largest and fastest-growing software companies in the industry. We recently raised a growth round of equity to reinvest in our product, technology, and go-to-market. Our mission is to build world-class software that improves the quality of life for seniors and improves clinical, business, compliance, and operational performance for our customers.
The Role

The clinical product is ECP 's flagship, and caregivers are in it every shift. When a nurse documents a medication administration or a care aide records an overnight observation, that's our software.

The team you'd join builds the next generation of it. The new platform is live and customers are using it, but most clinical functionality still sits in ColdFusion and AngularJS. We move customers a function at a time, so a caregiver can be in the new platform for one task and in ColdFusion for the next. Finishing that migration is the near-term work, and we're doing it with AI. The hard part is proving a migrated workflow still does what it did before.

You'd report to the Senior Engineering Manager for Clinical, on a team of four engineers with a tech lead and a dedicated product manager. You'd own clinical domains end to end, moving them onto the new platform for most of your first year and building new capability on them after that.

The stack: The new code is Node, React, and TypeScript on AWS, with domain-driven design and an event bus between the products. Data is SQL Server on a single-tenant database model, one per community. You won't write much ColdFusion, but you'll read plenty of it.
What You'll Build

The migration. You'll take a workflow that lives in ColdFusion today, work out what it does including the parts nobody wrote down, and rebuild it. You own that domain through to production, and you write the tests that prove it works. Not all of it carries over unchanged. The medication administration workflow is already redesigned and waiting, and you'll settle with product up front which differences are deliberate, so nobody reads one as a regression later.

New clinical capability. Once a domain lands on the new platform, the team builds on it. You'll work with the product manager on scope and sequencing, and we expect you to push back when there's a cheaper way to get a caregiver the same outcome.

The quality bar. The team is moving toward engineer-owned automated coverage in Playwright, and we want it to go further. You carry the pager for the domains you build.
What Success Looks Like

At six months the migration is well underway, and several of the domains that moved are yours. Caregivers are using them. The team has taken its cues from you on what AI-generated work is fit to merge, and review isn't where the migration slows down.

Past the migration, this job is new clinical capability, and the measure is how quickly a caregiver gets something they asked for.
Requirements

Required
- Depth in TypeScript on both sides of the stack, Node on the server and React in the browser. Tell us about a feature you took from the data model to the interface, and what you'd model differently now.

- AI-assisted development is how you work, daily, on production code, and you know where you stopped trusting it.

- You've pointed AI at a large codebase you didn't write and gotten useful work out of it. The part we want to hear about is what you did when the first answer was confidently wrong because the model couldn't see enough of the system.

- You've moved other engineers along in how they use AI.

- Domain-driven design

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