Roles remotos de GraphQL con elegibilidad clara.

Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.

Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.

End-to-end development of our labor marketplace across web and mobile.

Taking the lead on designing, developing and maintaining SmithRx frontend features with a strong depth of knowledge in JavaScript, React, and GraphQL while leveraging CI/CD to iterate quickly

Design, build, and maintain scalable backend services using Node.js

Domain Ownership: Ability to take a high-level product vision, translate it into a concrete technical roadmap, and execute it independently.

Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved-path tooling and frameworks.

Experiencia Profesional: Mínimo 3 años de experiencia demostrable en desarrollo de software backend programando en NodeJS y TypeScript.

Design, implement, and maintain monitoring and observability solutions using tools like Prometheus, Grafana Stack (Loki/Grafana/Tempo/Alert Manager), Datadog, and OpenTelemetry.

Location: ​​​​​South America

Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes

Backend Development: Design and build backend components to handle large-scale data parsing, processing, and storage efficiently.

Take financial partnerships from zero-to-one: scope the integration with the partner, pressure-test data and protocol specs, design the system, build it, ship it, and operate it.

A strong understanding of distributed systems. You enjoy building fault tolerant, resilient, and scalable services

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Maintain and evolve our codebase structure — a complex TypeScript monorepo, Go services, npm packages, and internal Agentic tooling.

Keep highly available systems highly available. We process mortgage transactions that can't go down. You'll design, monitor, and improve the infrastructure that makes that possible.

Model hard domain problems in code. Mortgage has edge cases that have edge cases. You'll turn messy, real-world lending scenarios into clean, reliable software.

Define what a mortgage is in code. Seriously. You'll work on semantic models that don't just represent mortgages as they exist today — they expand what a mortgage can be. This is product design at the API layer.

Encode natural language rules into code. You'll work with DSLs and novel techniques — including AI — to translate dense regulatory guidelines into executable logic.