Overview
At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better
Full job description
At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
Drive the architecture and implementation of Lendbuzz's core platform to ensure high scalability and system reliability as the company grows Build and maintain Python backend services behind RESTful APIs and event-driven (Kafka) workflows Modernize legacy architecture: migrate our core platform to containerized AWS services and split out domain microservices, rolling them out safely with canary releases Improve CI/CD and developer experience: faster test runs, better deploy workflows, and smoother releases Strengthen reliability through monitoring, health checks, autoscaling, and well-run scheduled jobs and data pipelines Work with product and platform teams to unblock delivery and make shared systems easier to build on
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) 5+ years of production backend software development experience, with proficient Python expertise Self-driven, adaptable, and creative problem-solver who thrives in a dynamic, fast-changing environment — able to independently tackle complex technical challenges and production issues while collaborating seamlessly within a team Proven track record designing scalable microservices and complex event-driven architectures using Kafka and RabbitMQ or Temporal Familiarity with agentic development workflows and AI coding tools (Claude Code, Cursor, or similar), and an interest in applying them to real engineering work Deep technical fluency with relational databases (PostgreSQL, AWS RDS), cloud infrastructure (AWS), container management (ECS/K8s), and Infrastructure as Code (IaC)
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