DevOps Engineer

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e-commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles. GFG’s platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group’s vision is to be the #1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do. THE TEAMAt THE ICONIC, innovation drives us; we believe that innovation should not be sitting in a siloed team but rather be part of everyone and everything we do & deliver. Every person in tech has a voice and we find that our best products are achieved through collaboration (usually over a coffee in front of a whiteboard).We have over 120 people in tech, not to mention 45 nationalities (and counting!) This means that our skills and experience are diverse, allowing for greater collaboration and constant learning. All of our teams are cross-functional, mission-driven and able to iterate from inception to production (DevOps mentality) without being blocked or having to ask permission from other teams. We love to move fast and validate learning using data (lucky for us our Data Science & Analytics team is also world-class!)SCOPE OF ROLE You will be working in an agile environment on enterprise-level, high-quality software and infrastructure to support THE ICONIC as a leader in the online retail space. Our team manages the infrastructure platform for THE ICONIC’s tech and engineering teams, and is always looking for opportunities to increase the speed of delivery and ensure system uptime. We are a fully remote team working across 3 time zones within ANZ.