Multi-brand luxury, fashion and F&B retail operator across Asia-Pacific
Valiram runs a multi-country, multi-brand store network whose job posts center on store-level economics: profitability, stock-loss, out-of-stock and inventory integrity recur most. A Microsoft-centric back office (Azure, Hyper-V, Exchange, ASP.NET, C#) sits alongside Salesforce, Tableau and Shopify, and accelerating hiring tilts toward ops, HR and marketing rather than engineering, so it is an operator buying tools more than building them.
Valiram is a privately held retail group headquartered in Kuala Lumpur, Malaysia, founded in 1935 and originally a textile trader. It operates stores for international and in-house brands spanning fashion and accessories, timepieces and jewelry, beauty and fragrance, confectionery and dining. Its footprint covers Malaysia, Singapore, Indonesia, Australia, New Zealand, Thailand, Hong Kong, Macau, Vietnam and the Philippines. The company employs 1,001–5,000 people and runs store planning, merchandising, logistics and digital commerce functions across these markets.
Valiram uses Azure, Hyper-V, Microsoft Exchange and Active Directory Federation Services, a .NET stack (C#, ASP.NET Core, Entity Framework), plus Salesforce, Tableau, Shopify, WordPress, Google Analytics 4 and a WMS.
Valiram is hiring in Malaysia, Singapore, the Philippines, Indonesia, Australia, Vietnam and Canada, with roles concentrated in operations, HR, marketing, finance and logistics.
Current initiatives include store openings and renovations, store planning business cases, an inventory management system, sales planning and forecasting, stock transfer optimization and a payroll operating model review.
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Valiram's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.