
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
3 days ago
AWS
Cloud
Distributed Systems
Docker
Grafana
Kubernetes
Microservices
MySQL
Postgres
Prometheus
RDBMS
React
React Native
SQL
TypeScript
Go

Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
• Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns. • Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences. • Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity. • Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability. • Establish and evolve engineering best practices for observability, security, and CI/CD across teams. • Mentor engineers and champion a culture of learning, innovation, and operational excellence. • Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
• 12+ years of professional software engineering experience, including significant backend experience. • Deployed significant changes to a production application in the past 30 days. • Strong proficiency in Golang, with experience building and maintaining RESTful APIs. • Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale. • Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues). • Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives. • Bachelor’s degree in Computer Science or equivalent practical experience. • Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic). • Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres. • Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems. • Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes). • Working knowledge of TypeScript, React, or React Native. • Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations). • Track record of shipping commercial APIs and data-driven applications in high-growth environments. • Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
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