Job Description
Job Title: Senior/Staff 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:
Design, develop, and maintain backend applications for customers worldwide.
Collaborate with cross-functional teams, including frontend, backend, testing, and application design, to deliver integrated solutions.
Build and optimize Python/My SQL backends hosted on Amazon Web Services (AWS).
Enhance, maintain, and troubleshoot existing software applications to ensure performance and reliability.
Write clean, highly scalable, and testable code following best practices.
Identify, analyze, and resolve programming bugs and performance bottlenecks.
Contribute to technical documentation and knowledge sharing across the team.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Expertise in distributed systems, real-time data processing, and low-latency architectures.
Strong Python proficiency or deep expertise in Go/Java/Scala/C++ with the ability to work effectively in Python
Hands-on experience with geospatial technologies (e.g., Post GIS, S2/H3 cells, Google Maps APIs) and real-time location data processing.
Proven track record of building and operating high-throughput, fault-tolerant microservices in a cloud environment (AWS, GCP, or Azure).
Strong foundation in system design, data structures, and performance optimization.
Strongly Preferred Qualifications:
Direct hands-on experience in the ride-hailing, mobility, logistics, or on-demand services industry.
Experience in adjacent domains with similar technical patterns, such as logistics, delivery, fleet management, fintech, or other location-based services.
Familiarity with event-driven architectures using Kafka, Web Sockets, or similar real-time streaming systems.
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:
Design, develop, and maintain backend applications for customers worldwide.
Collaborate with cross-functional teams, including frontend, backend, testing, and application design, to deliver integrated solutions.
Build and optimize Python/My SQL backends hosted on Amazon Web Services (AWS).
Enhance, maintain, and troubleshoot existing software applications to ensure performance and reliability.
Write clean, highly scalable, and testable code following best practices.
Identify, analyze, and resolve programming bugs and performance bottlenecks.
Contribute to technical documentation and knowledge sharing across the team.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Expertise in distributed systems, real-time data processing, and low-latency architectures.
Strong Python proficiency or deep expertise in Go/Java/Scala/C++ with the ability to work effectively in Python
Hands-on experience with geospatial technologies (e.g., Post GIS, S2/H3 cells, Google Maps APIs) and real-time location data processing.
Proven track record of building and operating high-throughput, fault-tolerant microservices in a cloud environment (AWS, GCP, or Azure).
Strong foundation in system design, data structures, and performance optimization.
Strongly Preferred Qualifications:
Direct hands-on experience in the ride-hailing, mobility, logistics, or on-demand services industry.
Experience in adjacent domains with similar technical patterns, such as logistics, delivery, fleet management, fintech, or other location-based services.
Familiarity with event-driven architectures using Kafka, Web Sockets, or similar real-time streaming systems.
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