E-commerce, payments and logistics platform across Latin America
Mercado Libre runs a combined marketplace, fintech and shipping operation across Latin America, built on Java, Go and Python with a heavy analytics layer spanning BigQuery, Redshift, Teradata, Hive and Presto. Hiring is accelerating and skews senior, with logistics nearly matching engineering in demand, and job posts repeatedly cite carrier integration, delivery speed and logistics cost as pressure points. Gemini, MCP and n8n in the stack, plus a GenAI gateway project, signal internal AI tooling buildout.
Notable leadership hires: Operations Team Lead, Transport Distribution Lead, Logistics Lead, Commercial Team Lead, Data Analysis Lead
Mercado Libre is an e-commerce and fintech company headquartered in Buenos Aires, Argentina, serving buyers and sellers across Latin America. Its business covers online marketplace commerce, digital payments, advertising, financing and shipping logistics. The company operates in the 10,001+ employee range and currently hires in Argentina, Brazil, Mexico, Colombia, Uruguay and Canada. Its operations include fulfillment centers and transport distribution networks alongside engineering, data, product, sales and security teams.
Mercado Libre uses Java, Go and Python, with BigQuery, Redshift, Teradata, Hive and Presto for data, TensorFlow and PyTorch for ML, Datadog and New Relic for monitoring, and Tableau, Looker and Power BI for BI.
Yes. Logistics is one of its largest hiring areas, close behind engineering, with lead-level roles in transport distribution, logistics and operations across Latin American markets.
Mercado Libre is hiring in Argentina, Brazil, Mexico, Colombia, Uruguay and Canada, with headquarters in Buenos Aires.
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Mercado Libre'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.