Senior Payments Engineer – Acquiring, Payment Processing

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

📋 Description

• Create 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: including authorization, capture, settlement, refunds, reconciliation, and handling chargebacks/disputes.

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

• Work within PCI DSS compliance, focusing on tokenization, network tokens, secure management of payment data, and 3DS/SCA flows when relevant.

• Monitor and instrument payment health metrics, including authorization/decline rates, processor performance, latency, and settlement accuracy, to foster continuous enhancement.

• Incorporate AI tools (such as Claude and similar LLMs) into your daily tasks to expedite design, coding, research, testing, and documentation, all while adhering to Sezzle's security and data-handling policies.

• Provide mentorship to engineers and contribute to elevating team performance.

• Prior experience with Claude or an equivalent large language model tool is essential; candidates should be adept at utilizing AI to boost productivity, research, and communication.

⛳️ Requirements

• Over 7 years of experience in backend or full-stack engineering, particularly in payments, fintech, or money-movement systems.

• Proficient in Go (preferred) or have comparable experience in Python, focused on building and serving REST APIs.

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

• Experience in distributed, cloud-based architectures utilizing patterns such as transactional outboxes or queuing tools like Kafka, SQS, or RabbitMQ.

• Proven, hands-on experience using Claude or an equivalent LLM to improve productivity, research, and communication; candidates should be comfortable making AI a fundamental aspect of their workflow and demonstrate how it has enhanced their output.

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

🏝️ Benefits

• None specified