Vagas remotas de GraphQL com elegibilidade clara.

Build and maintain secure, readable backend code primarily in Ruby on Rails, with some development in Go for targeted components.

Define and drive backend architecture for AI governance systems, including auditability, policy enforcement, and enterprise reporting capabilities, to improve governance coverage and enable reliable enterprise adoption.

Building backend services for package policy enforcement and dependency control

Implement and evolve the AI audit event pipeline, including event ingestion, schema normalization, storage design, partitioning, retention, and export capabilities.

Building AI agents such as the planner agent to support planning and knowledge management workflows

Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations

Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality

Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality

Analyze, troubleshoot, and resolve production issues related to live hiring events and platform functionality

Own escalated support from L1: investigate, reproduce, and resolve complex technical issues before they ever need to reach an engineer.

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

Work closely with founders and design to implement new concepts and ideas

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

Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so

Build AI-powered product features that feel native, fast, and delightful to use

Architect and implement solutions in our queueing layer, state store, and execution layer (eg. concurrency over time, or function debounce)

Build features end-to-end, from the UI in our dashboard to orchestrating workflows that interact with our microservices using Temporal.

Build new user-facing features with everything from database models to GraphQL resolvers and UI components

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