Vista previa generada por IA
Técnico de Soporte de Pagos y Autorizaciones en Visa, remoto desde Brasil, con enfoque en incidentes y automatización AI.
Contribuye a la confiabilidad del sistema, desarrolla herramientas internas y colabora con equipos de ingeniería para la excelencia operativa.
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
Job Description
Pismo is seeking a Support Engineer specializing in Payments and Authorization flows to support enterprise clients within the Enterprise Support team.
This role focuses on providing deep technical support on transaction processing, authorization flows, and card lifecycle operations, while collaborating closely with engineering teams to investigate issues, validate behavior, and improve platform reliability.
The Support Engineer acts as a technical bridge between the client and internal teams, contributing to faster resolution, better diagnostics, and continuous improvement of platform operations.
Key Responsibilities
Provide technical support on payments and authorization flows, including transaction processing, integrations, and lifecycle events
Investigate complex issues, working closely with Engineering and TAMs to analyze root causes and validate system behavior
Support incident management, contributing technical analysis during high-severity issues and escalations
Collaborate with internal teams, ensuring clear communication of technical findings and client impact
Validate platform changes, helping assess the impact of releases, configurations, and operational updates
Develop internal tools and automation, improving operational efficiency and diagnostics capabilities
Leverage AI and automation, contributing to the creation of tools (e.g., agents, scripts) to accelerate troubleshooting and reduce manual effort
Promote knowledge, across supported client and internal teams to leverage skills.
Contribute with the technical narrative for external documents and expedite complex situations with context.
Qualifications
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
Proven experience in payments processing, authorization flows, or card lifecycle systems, preferably in banking, fintech, or payment networks
Strong understanding of end-to-end transaction lifecycle, including authorization, clearing, settlement, and network interactions (e.g., Visa, Mastercard)
Experience working with high-volume, real-time transactional systems, including debugging and analyzing transaction-level behavior
Solid background in technical support, SRE, or backend engineering roles within distributed systems environments
Hands‑on experience with APIs, integrations, and message-based systems, including troubleshooting across system boundaries
Experience in incident management for critical systems, including root cause analysis and working in high‑pressure scenarios
Ability to analyze logs, metrics, and transaction data to identify issues and propose solutions
Experience collaborating with engineering teams on investigations and system behavior validation
Familiarity with automation, scripting, or building internal tools, with exposure to AI-driven approaches is a strong plus
Main Performance Indicator
Issue Investigation Effectiveness — Accuracy and depth of technical analysis, including quality of root cause identification and diagnostics
Incident Contribution & Resolution Support — Effectiveness in supporting high-severity incidents through timely analysis and coordination with Engineering and TAMs
Transaction & System Insight Quality — Ability to analyze transaction flows, logs, and data to identify patterns, anomalies, and root causes
Operational Efficiency Improvement — Contributions to internal tools, automation, or AI-driven solutions that improve troubleshooting and support processes
Collaboration & Engineering Feedback — Quality of collaboration with Engineering teams, including clarity of technical findings and actionable feedback
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.