Senior Back End Engineer

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/MySQL 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).
• 5+ years of experience in backend development, particularly with web and mobile applications.
• Strong preference for candidates from core engineering teams in ride hailing systems/ logistics(e.g., Uber/ Didi/ Lyft/ Grab/ Bolt/ Ola).
• Strong expertise in Python and MySQL, with proven experience building scalable applications.
• Hands-on experience with AWS cloud services.
• Solid understanding of software development lifecycle (SDLC), version control, and CI/CD practices.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage time effectively and deliver in a fast-paced, global environment.
• A proactive, can-do attitude and the ability to learn quickly.
• Strong teamwork and communication skills, with a collaborative mindset.
• Understanding of ML fundamentals, Building APIs/services to serve ML models.