Card issuing, processing and acquiring infrastructure for Latin American payments
Credencial Payments runs issuing, processing and acquiring rails plus white-label wallets for financial institutions across Latin America. Its stack leans heavily on offensive and defensive security tooling (Kali Linux, Burp Suite, Metasploit, Wazuh) alongside AWS, Azure, Kubernetes and Terraform, consistent with PCI-driven operations. Accelerating hiring splits between engineering reliability work and a commercial push to win issuer and acquirer clients in Argentina and Mexico.
Credencial Payments is a Buenos Aires-based fintech, founded in 1979, that provides payment issuing, processing and acquiring services to financial entities in Latin America. It operates as a Mastercard principal member with licenses in several countries of the region and holds Mastercard, Visa, Carnet and PCI DSS certifications. Its modular, API-integrable offering covers physical and digital collections, white-label digital wallets for consumers, businesses and merchants, supplier payment ecosystems, a crypto on-ramp and cross-border payments. The company runs data centers in Mexico City, Querétaro, Miami and Buenos Aires and employs 51–200 people.
Credencial Payments uses Python, Django, Flask, FastAPI, Java and MySQL, runs on AWS and Azure with Docker, Kubernetes, Terraform and Ansible, and relies on security tools like Burp Suite, Metasploit, Wazuh and ESET.
Credencial Payments is hiring in Argentina and Mexico, with an engineering-heavy mix supported by operations, sales and marketing roles, and hiring velocity is accelerating.
Current initiatives include a Latin American commercial expansion strategy, automating software deployment pipelines, evolving network architecture, proactive network monitoring, PCI compliance and a backup and disaster recovery strategy.
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Credencial Payments'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 →
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