Senior Software Engineer, Platform (Developer Experience)

ECP

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

8 hours ago
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Job summary

ECP is seeking a senior engineer to join the Foundation Engineering team, building and operating the development environments and infrastructure that power our HIPAA-compliant platform. You will help move from a manual, monolithic approach to scalable, on-demand environments and robust pipelines.

You will work on Node/TypeScript, migrate from a ColdFusion legacy, and collaborate with cloud engineers to define and implement tooling, security, and observability across multi-tenant deployments.

Qualifications

  • Built and run production AWS infrastructure as code using Terraform, CDK, Pulumi, or CloudFormation.
  • Designed and rebuilt CI/CD pipelines to speed delivery and improve reliability.
  • Made systems runnable outside production with episodic environments and test data for multi-tenant apps.
  • Created tools or services that engineers use daily to improve productivity.
  • Implemented AI-assisted development practices and tooling to accelerate workflows.
  • Experience with Node/TypeScript and migrating from legacy platforms.

Responsibilities

  • Replace shared, slow environments with on-demand, episodic environments for engineers.
  • Establish golden paths for building, testing, and running services with clear guidance.
  • Enable artifact promotion across environments to avoid repeated rebuilds.
  • Introduce feature flags and a reliable deployment workflow across environments.
  • Implement dependency scanning, secrets detection, and static analysis in the pipeline.
  • Build AWS infrastructure and tooling in collaboration with cloud engineers.

Skills

Infrastructure as code
CI/CD systems
Multi-tenant systems
AI-assisted development
Tooling for engineers
Production AWS infrastructure

Tools

Terraform
CDK
Pulumi
CloudFormation
Node
TypeScript

Job description

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.

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'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.

The Role

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.

What You'll Build

The inner loop.Replace shared, slow-to-provision environments with episodic 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.

What Success Looks Like

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 epher

Consolidated CI, observability that lets an engineer see their own system in production, and an internal developer portal follow from that foundation.

Requirements

Required

  • You'vebuilt and run production AWS infrastructure and expressed it as code, with Terraform, CDK,Pulumi, or CloudFormation. Networking, IAM, and container workloads are thingsyou'veconfigured yourself, andyou'vecarried a pager for infrastructure other engineers depended on.
  • You'vebuilt orsubstantially rebuilta CI/CD system that other engineers ship through, and you can say what got faster and how you measured it. Running apipelinesomeone else designedisn'tthe same job.
  • You'vemade a real system runnable outside production, whether that's episodic environments, test data for a multi-tenant application, or containerized local development that engineers besides youactually ran.
  • Name a tool or service you wrote that other engineers used every day, and what it did for them. Much of this job is software.
  • You'vebuilt something for engineers outside your own team, and you can talk about both a time it worked and a time nobody adopted it.
  • You'vemoved other engineers alonginhow they use AI.It'salready how you work yourself, and you know where it holds up and where it needs a human check. We expect our engineers to advocate for this.

Preferred

  • Feature flag platforms and progressive delivery
  • Kubernetes or ECS at production scale
  • Observability built onOpenTelemetry, distributed tracing, or structured logging, especially where the data itself is sensitive
  • HIPAA-regulated or other compliance-sensitive environments
  • Bitbucket Pipelines, Jenkins, Azure DevOps, or GitHub Actions
  • Test automation frameworks, or contract testing in an event-driven system
  • Building alongside a legacy platform mid-migration, without the luxury of waiting for it finish
  • Node and TypeScript, internal developer portals, MCP servers
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