Senior Payments Engineer — Acquiring & Payment Processing

About this role

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Skills you'll use

What you'll do

• 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.
• What We Look For:
• 7+ years of backend or full-stack engineering experience, with meaningful time spent on payments, fintech, or money-movement systems

Who can apply

• 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.
• Experience with SQL based RDMS through an ORM tool
• Comfortable using observability platforms like Prometheus, or vendor solutions like NewRelic or Datadog to instrument your code for production monitoring and alerting.

About Sezzle

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