About Evolve

Evolve is a biosensing-driven adaptive training platform built for enterprise and high-performance use cases. We combine physiological signals, EEG, PPG, eye tracking, and behavioral data, with structured training programs to drive measurable performance, regulation, and cognitive outcomes in real-world deployment.

Role Summary

We are seeking a versatile, execution-focused Sr Full-Stack Developer to take immediate ownership of building, integrating, and hardening Evolve’s user-facing software ecosystem. While this role is heavily anchored in architecting and delivering our core frontend single-page application (SPA), you will also actively contribute to our Node.js backend pipelines, handle complex real-time data visualization charts, and take on light DevOps and QA responsibilities to stabilize our cloud infrastructure ahead of critical research pilots.

In this role, you will replace a legacy interface with a robust web application that acts as the primary command-and-control surface for operators deploying our neuro-technology platform in elite performance and research settings. You will bridge the gap between high-performance client-side charts, real-time backend streams, and reliable cloud deployments.

Key Responsibilities

1. Build and Architect the Core Operator Web App (Frontend-Focused)

Consolidate separate legacy tools into a unified, high-performance single-page application (SPA) tailored for upcoming pilot deployments.
Implement and maintain role-based access control within a single app to serve multiple personas (e.g., operator, developer/admin).
Establish frontend development best practices

2. Implement High-Throughput Charting & Data Visualization

Architect and optimize real-time biometric signal trace charts (EEG, PPG, IMU) capable of rendering smoothly without dropping frames.
Design data-driven dashboards utilizing HTML5 Canvas, WebGL, or specialized high-performance charting libraries to graph active raw signals, composite physiological scores, and time-series frequency distributions.
Implement post-session reporting layouts that dynamically render HTML templates populated from processed assessment data (e.g., band ratios, stress scores, and autonomic performance scores).

3. Light DevOps & QA Operations

Cloud Infrastructure Upkeep: Audit and maintain existing Terraform repositories.
Observability: Instrument error logging and basic AWS-native monitoring to establish full data pipeline observability.
QA & Test Automation: Verify code coverage across repositories and implement functional testing harnesses (such as mock LSL stream generators or pre-recorded session playbacks) to validate real-time frontend features and backend APIs without requiring a live physical headset.

Experience & Background

Required

6+ years of professional software engineering experience building complex, performance-critical web applications across the full stack.
Production mastery of React, TypeScript, and Tailwind CSS on the frontend.
Strong backend development experience with Node.js (Express/Fastify) and database exposure (Redis, InfluxDB, DynamoDB).
Proven capability implementing high-performance client-side data charting and visualizations (Canvas, WebGL, or SVG-based charting primitives) handling continuous, low-latency data feeds.
Advanced experience with real-time browser technologies: Native WebSockets and binary serialization protocols (Protocol Buffers/Protobuf).
Familiarity with Docker Compose and local development.

Preferred

Background working with biometric/wearable datasets, IoT telemetry, or high-frequency time-series data pipelines.
Familiarity with Lab Streaming Layer (LSL) protocols or open-source neural data capture pipelines.
Experience implementing AWS Cognito for federated auth (Google SSO, JWT) and managing multi-tenant routing architectures.
Managing infrastructure as code using Terraform
Experience supporting engineering infrastructure for research pilots or enterprise deployment environments.
Alignment with a "spec-first" engineering workflow, building features out of persistent markdown technical requirement documents and defined acceptance criteria.
Experience in B2B SaaS or enterprise workflows.
Experience with complex data, healthcare, research, or device-connected products.
Experience building configuration-heavy applications and operational tools.

Skills & Traits

Performance Delivery: Deeply understands memory allocation, rendering pipelines, and backend stream processing to avoid bottlenecks when receiving continuous data streams.
Pragmatic and Execution-Oriented: Comfortable working in a fast-paced startup environment, capable of stepping into an evolving codebase, triaging legacy debt, and establishing stability.
Proven Critical Thinking. An ability to ask questions, be curious and experience at solving complex problems with simple solutions.
Rigor: Believes code and robust test coverage are living documentation, writing clean, maintainable systems that eliminate single-person dependency.

Evolve

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