Vagas remotas de GraphQL para candidatos em Trinidad e Tobago.

Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results.

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.

Triage and troubleshoot support issues, when required escalate to project or product engineering teams.

Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions

Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using that system to turn the wireframes into a polished UI.

First, this role has always had the commitment of both Benji (CEO & Co-Founder) and me: I’ve held the role, steadfastly championed it since we started hiring in 2020

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

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.

Build integrations across the mortgage ecosystem. You'll connect Pylon to external partners — each with their own APIs, data formats, quirks, and reliability characteristics. No two are the same.

Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using that system to turn the wireframes into a polished UI.