SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Lendbuzz is building innovative financial technology to provide underserved borrowers with better access to credit. The company is seeking a Senior Backend Software Engineer to drive the architecture and implementation of its core platform.
In this role, you will:
• Lead the design and implementation of Lendbuzz's core platform, ensuring 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 by migrating the core platform to containerized AWS services and splitting out domain microservices, rolling them out safely with canary releases
• Improve CI/CD and developer experience through faster test runs, better deploy workflows, and smoother releases
• Strengthen system reliability through monitoring, health checks, autoscaling, and well-run scheduled jobs and data pipelines
• Collaborate with product and platform teams to unblock delivery and make shared systems easier to build on
The ideal candidate is self-driven, adaptable, and thrives in a dynamic, fast-changing environment. You will independently tackle complex technical challenges and production issues while collaborating seamlessly within a team.
Lendbuzz values diversity, compassion, simplicity, honesty, and transparency. The company believes financial opportunity belongs to everyone and works to improve lives by extending this opportunity.
REQUIREMENTS:
• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of production backend software development experience with proficient Python expertise
• Proven track record designing scalable microservices and complex event-driven architectures using Kafka, RabbitMQ, or Temporal
• Deep technical fluency with relational databases (PostgreSQL, AWS RDS), cloud infrastructure (AWS), container management (ECS/Kubernetes), and Infrastructure as Code (IaC)
• Familiarity with agentic development workflows and AI coding tools (Claude Code, Cursor, or similar), with interest in applying them to real engineering work
• Self-driven, adaptable problem-solver who thrives in dynamic environments and can tackle complex technical challenges independently
