Global Fashion Group

Overview of job

Global Fashion Group (GFG) is the leading fashion and lifestyle retail destination in Asia Pacific, Latin America and CIS. We connect over 10,000 global, local and own brands to a market of more than one billion consumers through four established e-commerce platforms: THE ICONIC, ZALORA, dafiti and lamoda. Through an inspiring and seamless customer experience enabled by our own technology ecosystem and operational infrastructure, we are dedicated to being the #1 fashion and lifestyle destination in our markets. With 17 offices and 10 fulfilment centres across four continents, GFG proudly employs a dynamic and diverse team with deep local knowledge and expertise. In 2019, GFG delivered more than 34 million orders to over 13 million Active Customers.

At GFG, Technology is core to long-term success and is a crucial enabler of a great Customer Experience. We’re a mix of experts in fashion, logistics, data analytics, marketing, and design, guided by business consultants and tech geniuses – everyone contributes to the success of GFG.

If this sounds like your kind of gig, be part of a creative, passionate and dynamic team that works hard but throws a great party as well!

We are looking for a Software Engineer to join our team in Vietnam:

ABOUT THE ROLE

• Design and build high performance, scalable and testable components for our shop platform.
• Lead the development of new features for the shop, delivering to our standard, on time.
• Provide material feedback to junior team members.
• Investigate cutting edge technologies to improve site reliability, developer experience, customer experience, and raw performance.
• Think outside the day-to-day and propose ways to elevate the art of e-commerce engineering.

• BS/MS in Computer Science or related technical discipline.
• 2+ years of experience with high-traffic distributed systems.
• Solid computer science fundamentals.
• Familiar with a high-level programming language.
• Familiar with a testing framework.
• Experience with SQL and relational databases.