Software Engineer (Backend)
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 12, 2026. Lendbuzz scores A on the Alion truth index.
We're looking for a backend-focused Software Engineer to build high-quality, scalable backend systems behind our products and help shape the user experiences they power.
As part of our Boston-based Core squad, you'll take on complex, high-impact technical challenges that help our product teams move faster. You'll play a key role in making Lendbuzz's products reliable and sustainable as we scale.
Key Responsibilities:
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
Key Requirements:
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)