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Tech Lead / Full-Stack Engineer

Tech Lead / Full-Stack Engineer

TrainTracknadiad, gujarat, in
23 hours ago
Job description

You’ll be the  technical backbone  of TrainTrack — responsible for designing, building, and deploying the first complete version of the product.

You’ll own architecture decisions, write production-ready code, integrate wearable data, and collaborate directly with the founding team and AI engineer to make the algorithm work in the real world.

This is a builder’s role — ideal for someone who loves working across the stack, thrives in early-stage environments, and wants to shape a product that can redefine fitness intelligence.

Key Responsibilities

1. Architecture & Development

  • Design and build the  core platform architecture  across frontend, backend, and cloud.
  • Develop  two mobile apps  (physiotherapist + user) using a shared codebase (React Native / Flutter).
  • Build the  backend  (Node.js / Python) with secure authentication, role management, and data APIs.
  • Set up  databases  for storing assessments, workouts, and wearable data.
  • Implement integrations with third party APIs
  • Deploy the  AI engine  (score generation, workout recommendation, predictions) via APIs.

2. Technical Leadership

  • Work closely with data and AI engineers to define APIs and model deployment.
  • Translate product and sports science inputs into scalable technical systems.
  • Manage  DevOps : cloud setup, CI / CD pipelines, code versioning, and server monitoring.
  • Eventually recruit, mentor, and manage junior engineers and mobile devs.
  • 3. Product Execution

  • Rapidly prototype, test, and iterate on product features with physiotherapists and users.
  • Ensure clean, modular, and maintainable code for long-term scalability.
  • Maintain high standards of  security, privacy, and performance  for health data.
  • Ideal Background & Skills

    Technical Stack :

  • Frontend :  React Native or Flutter
  • Backend :  Node.js or Python (FastAPI / Django)
  • Database :  PostgreSQL / MongoDB / Firebase
  • AI Integration :  REST / GraphQL APIs, FastAPI model serving
  • Cloud :  AWS or GCP (Lambda, EC2, S3, Cloud Functions)
  • Version Control & CI / CD :  GitHub, Docker, Jenkins / GitHub Actions
  • Nice-to-Have :

  • Familiarity with  wearable data APIs  (Apple HealthKit, Google Fit, Garmin Connect, Strava).
  • Experience working with  AI / ML engineers  and model deployment.
  • Knowledge of  data visualization  (D3.js, Recharts, or equivalent).
  • Awareness of  health data privacy standards  (GDPR, HIPAA).
  • Soft Skills :

  • You’re a  builder at heart  — capable of independently delivering across the stack.
  • Strong communicator who thrives in  cross-functional collaboration  (design, AI, product, physio).
  • Curious about  fitness, biomechanics, and human performance .
  • Excited by early-stage ownership and shaping something from the ground up.
  • What You’ll Get

  • Opportunity to  build a product from 0 → 1  that merges health, AI, and human performance.
  • Work closely with a passionate founding team shaping the future of intelligent fitness.
  • Freedom to choose tools, architecture, and early team direction.
  • Competitive compensation and early-stage  equity options .
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    Tech Lead • nadiad, gujarat, in

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