Senior Payments Engineer – Acquiring, Payment Processing

Sezzle

Senior Payments Engineer at Sezzle designing backend services for payment processors and gateways. Collaborating with cross-functional teams for the core payment systems at Sezzle.

Posted 6/22/2026full-timeRemote • 🇨🇱 ChileSenior💰 $5,000 - $9,500 per monthWebsite

Tech Stack

Tools & technologies

CloudGoKafkaPythonRabbitMQ

About the role

Key responsibilities & impact

Design and build backend services in Golang that integrate with payment processors, gateways, and card networks
Own critical money-movement flows end to end: authorization, capture, settlement, refunds, reconciliation, and chargeback/dispute handling
Build idempotent, fault-tolerant, auditable transaction processing within a distributed architecture (transactional outbox patterns; queues such as Kafka, SQS, or RabbitMQ)
Operate within PCI DSS scope — tokenization, network tokens, secure handling of payment data, and 3DS/SCA flows where applicable
Instrument and monitor payment health: authorization/decline rates, processor performance, latency, and settlement accuracy, driving continuous improvement
Use AI tooling (Claude and equivalent LLMs) as part of your daily workflow to accelerate design, coding, research, testing, and documentation — within Sezzle's security and data-handling policies
Mentor engineers and help raise the bar across the team
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Requirements

What you’ll need

7+ years of backend or full-stack engineering experience, with meaningful time spent on payments, fintech, or money-movement systems
Strong Go (preferred), or comparable experience in Python, building and serving REST APIs
Hands-on experience integrating with payment processors, gateways, or acquiring systems, and familiarity with payments fundamentals: authorization vs. settlement, tokenization, idempotency, reconciliation, and chargebacks/disputes
Experience in distributed, cloud-based architectures using patterns like transactional outboxes or queuing tools (Kafka, SQS, RabbitMQ)
Demonstrated, hands-on use of Claude or an equivalent LLM to enhance productivity, research, and communication — you're comfortable making AI a core part of how you work and can show how it's improved your output
Bachelor's degree in Computer Science, Engineering, or a related field.

Benefits

Comp & perks

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Hard Skills & Tools

GolangPythonREST APIstokenizationidempotencyreconciliationchargebacksdistributed architecturetransactional outbox patternspayment processing

Soft Skills

mentoringcommunicationteam collaborationproblem-solvingcontinuous improvement

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering