Engineer

. Own and evolve the architecture of the core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure .

Posted 9/25/2026full-timeRemote • United StatesSeniorLead💰 $151,000 - $178,500 per yearWebsite

Tools & technologies

AWSDistributed SystemsETLJavaScriptNode.jsOpen SourcePostgresReactTypeScript

Key responsibilities & impact

Own and evolve the architecture of the core platform: React frontend, Node.js/Express APIs, Postgres, and AWS ECS infrastructure
Drive the JavaScript-to-TypeScript migration by establishing patterns, tooling, and standards
Design and extend the ETL pipeline and config-driven AI integration framework
Lead technical design reviews and create architecture decision records
Identify and resolve systemic technical debt
Define and execute the technical strategy for integrating ML/AI models into the core platform
Mentor engineers across all levels through pairing, review, coaching, and development
Establish engineering standards for code quality, testing, observability, on-call runbooks, and incident response
Advise product, clinical, and business stakeholders
Help define the engineering hiring bar and participate in interviews
Partner with engineering leadership and product to scope, sequence, and de-risk technical initiatives
Lead production support, define runbooks, own post-mortems, and drive systemic incident fixes
Work across UI, API, database, and infrastructure layers

What you’ll need

8+ years of professional software engineering experience
At least 3 years in a senior or staff-level role
Deep expertise in JavaScript and TypeScript in a production full-stack environment
Strong command of React, Node.js/Express, and Postgres
Experience designing and owning distributed systems or data pipeline architectures on AWS
Experience with AWS ECS, RDS, and S3; Lambda experience valued
Track record of technical mentorship
Excellent written and verbal communication
Experience working in or leading engineering at a growth-stage startup
Significant experience architecting and deploying production-grade ML/AI systems, including LLM integration and model lifecycle management
Familiarity with ETL pipelines, AI/LLM integration patterns, or data-intensive systems is a strong plus
Experience with healthcare or regulated data environments, HIPAA compliance, or PHI handling is nice to have
Familiarity with event-driven architectures, message queues, or streaming pipelines is nice to have
Prior experience as an engineering manager who returned to an IC track is nice to have
Contributions to open source or engineering blog posts/conference talks are nice to have
Legally authorized to work in the United States

Comp & perks