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Work Mode

On-site

Job Type

Full Time

Job Description

About Company


ride-sharing platform


Role Overview

implementing dynamic pricing/surcharge models


Key Responsibilities

  • Develop and maintain backend architecture for a

    ride-hailing ecosystem

    (rider, driver, and admin modules).
  • Design and implement

    dynamic pricing/surcharge algorithms

    based on supply-demand, geo-location, and time-based factors.
  • Build secure and scalable

    RESTful and GraphQL APIs

    for mobile applications.
  • Manage

    real-time ride matching, fare calculation, trip tracking, and payment integration

    .
  • Work with geolocation and mapping services (Google Maps, Mapbox, etc.) to improve routing accuracy.
  • Ensure backend performance with low latency, high throughput, and fault tolerance.
  • Collaborate with data teams to analyze user behavior and fine-tune pricing models.
  • Conduct code reviews, optimize queries, and ensure best practices in system design.
  • Maintain

    security and compliance standards

    for user data and financial transactions.
  • Participate in deployment processes using

    CI/CD pipelines

    and cloud services.


Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related discipline.
  • 3–6 years of experience in

    backend development

    , preferably in ride-sharing, logistics, or mobility-based platforms.
  • Strong proficiency in

    Node.js, Python

    .
  • Hands-on experience with

    databases

    (MongoDB).
  • Knowledge of

    caching and messaging systems

    (Redis, Kafka, RabbitMQ).
  • Proven track record of

    developing and deploying surcharge/dynamic pricing systems

    .
  • Experience with

    real-time communication

    (WebSockets, gRPC, pub/sub).
  • Familiarity with

    cloud infrastructure

    (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of

    microservices and distributed system architecture

    .

Preferred Sills

  • Prior work experience in

    ride-hailing or logistics startups

    .
  • Knowledge of

    machine learning models for predictive pricing

    .
  • Experience integrating

    payment gateways

    (Stripe, Razorpay, PayPal).
  • Exposure to

    DevOps practices

    and monitoring tools.



What we offer

  • Competitive compensation and benefits package.
  • Exposure to

    cutting-edge mobility technologies

    .
  • Opportunity to contribute to a

    scalable, high-impact ride-sharing solution

    .
  • Collaborative and growth-oriented work culture.


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