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Agoda

Front End/ Full Stack Engineering Manager (Singapore based, relocation provided)

Agoda, Chicago, Illinois, United States, 60290

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Front End/ Full Stack Engineering Manager (Singapore based, relocation provided)

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Our Purpose - Bridging the World Through Travel. We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. The Front-End Department builds the Agoda web and app products. We have several teams in front-end focusing on different aspects of our products including accommodations, flights, payments, marketing, post-booking services, and more. We are looking for hands-on Development Managers who have unique knowledge and abilities to contribute to our highly scaled web products and mobile applications. You must be a strong leader who can guide our staff beyond our already high standards of engineering to the next level. In this Role, you'll get to: Maintain ownership and responsibility of mission critical systems. Guide one or more Agile teams to success. Get involved with full stack, server, and mobile app engineering and guide server, client, and infrastructure technical staff to the best solutions. Directly manage between 5 and 10 technology professionals and be responsible for their performance at the company. What you'll Need to Succeed: At least 3 years of experience managing engineering teams of 3 people and more, 5+ years of experience in software engineering. Proficient with front-end (FE) web client-side technologies (React, Redux state management, JavaScript, SASS, Performance optimization) Knowledge in back-end (BE) development, with experience in Kotlin and/or Python preferred. Knowledge in scale, microservices and clean architecture. Excellent people management and communication skills. B.S. in Computer Science or quantitative field; M.S. preferred It's Great if you have: Machine Learning, GPT, prompt engineering and other AI project experience Experience working with Large Language Models (LLMs) or related AI/ML technologies is a significant plus.

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