Senior Payments Engineer – Acquiring, Payment Processing

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design and develop backend services using Golang that connect with payment processors, gateways, and card networks.

• Take ownership of essential money-movement processes from start to finish: authorization, capture, settlement, refunds, reconciliation, and chargeback/dispute management.

• Create idempotent, fault-tolerant, and auditable transaction processing within a distributed architecture, utilizing transactional outbox patterns and queues such as Kafka, SQS, or RabbitMQ.

• Operate within PCI DSS requirements, focusing on tokenization, network tokens, secure payment data handling, and 3DS/SCA flows when applicable.

• Monitor and instrument payment health metrics, including authorization/decline rates, processor performance, latency, and settlement accuracy, while driving continuous improvement.

• Leverage AI tools (such as Claude and similar LLMs) in your daily tasks to enhance design, coding, research, testing, and documentation, all within Sezzle's security and data management policies.

• Mentor fellow engineers and contribute to raising the overall skill level of the team.

⛳️ Requirements

• Over 7 years of backend or full-stack engineering experience, with substantial time dedicated to payments, fintech, or money-movement systems.

• Proficient in Go (preferred) or similar experience in Python, with a focus on building and serving REST APIs.

• Practical experience in integrating with payment processors, gateways, or acquiring systems, along with an understanding of payment fundamentals: authorization vs. settlement, tokenization, idempotency, reconciliation, and chargebacks/disputes.

• Experience with distributed, cloud-based architectures that utilize patterns like transactional outboxes or queuing tools (Kafka, SQS, RabbitMQ).

• Proven hands-on experience using Claude or a comparable LLM to boost productivity, research, and communication — demonstrating comfort in making AI an integral part of your workflow and showcasing its impact on your results.

• Bachelor's degree in Computer Science, Engineering, or a related field.

🏝️ Benefits

• Competitive salary

• Flexible work hours

• Professional development

• Mentorship opportunities

• Health insurance