• 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

• Design and build backend services in Golang that integrate with payment processors • Own critical money-movement flows end to end • Build idempotent, fault-tolerant, auditable transaction processing within a distributed architecture • Operate within PCI DSS scope • Instrument and monitor payment health

• Design and build backend services in Golang that integrate with payment processors and gateways • Own critical money-movement flows end to end: authorization, capture, settlement, refunds, reconciliation, and chargeback/dispute handling • Operate within PCI DSS scope • Instrument and monitor payment health • Mentor engineers and help raise the bar across the team.

• 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.