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ECP, a market-leading SaaS for senior living, seeks a Foundation Engineer to accelerate delivery by building the developer experience and production-ready infrastructure.
You’ll create ephemeral environments, streamline pipelines, and implement infrastructure-as-code across AWS, with a focus on fast, safe deployments. The role sits in Platform Engineering and collaborates with cloud engineers and product teams.
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'relooking 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 withsoftwareand 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.
Foundation Engineering is a new capability in ECP's Platform organization. Its charter is the path from code to production: the environment an engineer develops in, the pipeline that builds and ships their work, the infrastructure it runs on, and the tooling that makes all of it fast.You'dbe the first engineer hired into thedeveloperexperience side of it, reporting to the Engineering Manager for Developer Experience. Every delivery team ships on top of what you build.
Most of it is still ahead of us. Production infrastructure is CloudFormation on AWStoday,CI is spread across more than one system, and engineers work in shared, long-lived environments. Where we go next on developer environments and infrastructure-as-code is genuinely open, andyou'dhave a hand in deciding it.
You'dstart on the innerloop,the part of the day an engineer spends before their code ever reaches the pipeline, then move outward into the pipeline and the AWS infrastructure underneath it. The job is hands-on.You'llwrite infrastructure code and build tooling, andyou'llsit next to the cloud engineers who run our production footprint and pick up production work alongside them.
The stack.Newcode is Node and TypeScript.We'remigrating off a ColdFusion legacy platform, and the two will coexist for a while, so what you buildhas toserve both. Youwon'twrite ColdFusion. SQL Server and PostgreSQL, a mix of monolith and services, adopting domain-driven design andan event-driven architecture, all on AWS. This is a multi-tenant HIPAA product. Engineers need realistic environments and full visibility into their own systems without the resident data inside them, and that constraint shapes most of whatyou'lldesign. Our AI coding tools run on Bedrock inside our own AWS account for the same reason.
The inner loop.Replace shared, slow-to-provision environments withephemeral ones an engineer can stand up ondemand, andsolve the multi-tenant test data seeding that makes them realistic enough to trust. Cut local build and test times. Establish golden paths: opinionated, documented ways to build, test, and run a service, so the answer to "how do I start" is one page and one command.
The path to production.Get us building an artifact once and promoting it across environments instead ofrebuilding foreachone, andgive engineers a feature flag system they trust enough to pull deploy and release apart. Those two are what the rest of our continuous delivery plans are waitingon. Make dependency scanning,secretsdetection, and static analysis default steps on every build, and move teams onto a common pipeline as weconsolidate.We'rea small team andwe'drather adopta good toolthan write one, so knowing when to buy is part of the job.
The infrastructureunderneathit.You'llwrite the AWS and infrastructure-as-code thatyourtooling and our environments run on, working alongside the cloud engineers who own our production footprint, and carry the pager for what you build.
Tooling for AI-assisted development.Our engineers build with AI today, and generating code has gotten far cheaper than verifying it.You'down pieces of what closes that gap: deterministic builds, test feedback fast enough to stay inside the loop, sandboxed execution, review gates for agent-authored changes, and platform capabilities exposed to agents through MCP.
At six months, a build runsonceand that same artifact moves through every environment, and engineers have feature flags they rely on to deploy without releasing. At least one delivery team works against realistic seededdata.
Consolidated CI, observability that lets an engineer see their own system in production, and an internal developer portal follow from that foundation.
Required
Preferred