Job description
What we need you to tackle
We’re looking for a senior technical leader with 10+ years of software engineering experience, including staff-level or higher impact, who has led architecture end to end and can operate hands-on in production. You should have strong Ruby on Rails experience, plus solid React, Postgres, GraphQL, background jobs, observability, testing, and CI/CD skills, ideally in multi-service environments with third-party integrations. The right person is an owner, a clear communicator in English and Portuguese, comfortable challenging assumptions respectfully, and genuinely excited to use AI-assisted development to make the team faster and better.
Non-negotiable hard skills
- AI / Artificial Intelligence
- PostgreSQL
- Ruby on Rails
- React
Your day-to-day
Own the architecture and technical roadmap for the On-Demand module, including demand ingestion, shift matching, claim eligibility, incentive pricing, FTE attainment, timecard audits, and the GraphQL API.
Act as the go-to technical leader for the team by breaking down hard problems, guiding implementation, and helping engineers make good technical decisions.
Partner with Product on discovery, sequencing, and trade-offs, connecting technical choices to business metrics, cost, and risk.
Lead design reviews, write architecture decision records, and set clear technical standards for the team.
Improve observability, testing, CI/CD, data pipelines, and integration frameworks, and help prevent recurring production failures.
Mentor engineers, raise the quality of code review, and apply a security and data-protection lens appropriate to healthcare data.
Nice to haves
- Apply secure design and data protection practices (least privilege, encryption, auditability) appropriate for PHI. Reduces risk while integrating external systems and exposing APIs.
- Build and evolve React UIs that consume GraphQL for shift discovery and claiming. Helps validate end-to-end flows and improve the nurse experience of the On-Demand module.
- Model and tune Postgres schemas, queries, and indexes to support matching logic, incentives, and audits with correctness and performance.