Senior Electron.js Engineer - Real-time Desktop Analytics

Crossing Hurdles; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Crossing Hurdles seeks a senior software architect to lead the development of a cross-platform desktop agent built with Electron.js. You will optimize performance, ensure low resource usage, and drive real-time tracking features with robust background execution.

You will design system-level signal collection with privacy in mind, build offline-first data pipelines, and integrate with distributed backend services to enable analytics and reporting.

Qualifications

• Production-grade desktop apps with Electron.js
• Cross-platform systems for MacOS and Windows
• Real-time tracking or activity monitoring experience
• Strong debugging and performance optimization skills

Responsibilities

• Architect and evolve a cross-platform desktop agent using Electron.js, ensuring optimal performance and minimal resource usage.
• Build real-time timekeeping systems with precise event tracking and efficient background execution.
• Design and implement system-level signal collection for keyboard, mouse, and app usage while maintaining strong privacy and efficiency guarantees.
• Develop offline-first data pipelines that ensure reliable background synchronization and conflict resolution.
• Integrate with distributed backend services and internal APIs to enable comprehensive analytics and reporting.
• Continuously improve runtime performance, memory efficiency, and fault tolerance of the application.

Skills

Electron.js

Cross-platform design

Real-time tracking

Performance optimization

Memory efficiency

Background execution

Privacy guarantees

Analytics & reporting

API integration

Fault tolerance

Job description

Crossing Hurdles seeks a senior software architect to lead the development of a cross-platform desktop agent built with Electron.js. You will optimize performance, ensure low resource usage, and drive real-time tracking features with robust background execution.

You will design system-level signal collection with privacy in mind, build offline-first data pipelines, and integrate with distributed backend services to enable analytics and reporting.