Senior Back End Engineer

Job Title: Senior/Staff Backend EngineerLocation: Fully RemoteCompany OverviewFounded 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.

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