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.
