Python Developer - Mexico - Elife Transfer

    Elife Transfer
    Elife Transfer Mexico

    hace 1 día

    $360,000 - $780,000 (MXN) por año *
    Descripción

    Job Title: Mid-Level Backend Engineer

    Location: Fully Remote

    Company Overview

    Founded in 2019, Elife Transfer is a fast-growing startup headquartered in San Francisco, California, at the heart of Silicon Valley. We are an all-in-one global ground transportation marketplace, enabling travelers to book airport transfers, ride-hailing, shared rides, private cars, and rail tickets. Trusted by over 40 million travelers across 182+ countries, we are rapidly scaling to become the world's go-to platform for seamless, end-to-end ground mobility.

    Key Responsibilities

    • Develop and maintain backend applications used by customers worldwide.
    • Collaborate with frontend, backend, QA, and product/design teams to deliver integrated features.
    • Build and enhance Python/MySQL backend services deployed on AWS.
    • Support the maintenance and improvement of existing software systems to ensure good performance and reliability.
    • Write clean, testable, and maintainable code following engineering best practices.
    • Help identify and fix bugs, as well as contribute to performance improvements.
    • Participate in team documentation and knowledge-sharing activities.

    Requirements

    • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
    • Solid programming experience in Python or strong skills in Go/Java/Scala/C++ with willingness to work in Python.
    • Understanding of backend fundamentals: REST APIs, microservices, relational databases, caching, queues, etc.
    • Hands-on experience with SQL databases (MySQL preferred).
    • Basic understanding of cloud environments (AWS, GCP, or Azure).
    • Good knowledge of data structures, debugging, and performance considerations.
    • Ability to work in distributed teams and deliver features independently with guidance.

    Preferred Qualifications

    • Experience with geospatial data or APIs (e.g., maps, GPS, distance calculations) — nice to have.
    • Exposure to real-time data processing or event-driven systems (Kafka, WebSockets, etc.).
    • Background in ride-hailing, logistics, delivery, mobility, or other location-based systems.
    • Familiarity with microservices architectures and containerized environments (Docker, Kubernetes).
    * Este rango salarial es una estimación hecha por beBee
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