22d ago

Backend Engineer

Israel·Tel AvivFull-Timemid

EngineeringBackend Developer

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Quick Summary

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 access to credit.

Technical Tools

EngineeringBackend Developer

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.

We are looking for an experienced, passionate Backend Engineer to join our growing TLV R&D location. You'll be joining the backend group to help us expand our backend system and add new features to the company's core product.

As a Backend Engineer, you'll play a crucial role in driving the backend architecture and technical strategies that underpin our success. This is a great Opportunity to make a significant impact by driving the technical direction of a high-growth company.

Build backend system from the ground up.

Design and collaborate with the engineering team to build architecture and system design for new products.

Build internal products and integrate with external API’s.

Play a role in building, expanding, testing and releasing of a product helping thousands happy customers.

Leverage AI coding assistants to boost productivity, while maintaining strict code quality, security, and critical review standards.

Bachelor’s degree in Computer Science, Computer Engineering, or a related field (Top-tier university degree with a GPA of 85+ / Graduated with honors is a strong plus).

3+ years of hands-on experience in backend development.

Strong programming skills, with expertise in Python.

Deep understanding and proven experience with relational databases (PostgreSQL or equivalent).

Experience designing and integrating with APIs (RESTful services).

Knowledge in testing methodologies

Tech-savvy and adaptable: Experience or a strong desire to incorporate AI dev tools into your daily workflow, combined with the critical thinking needed to review and validate AI-generated code.

Independent, proactive, with great interpersonal skills.

This is a great Opportunity to make a significant impact by driving the technical direction of a high-growth company. We embrace modern development practices. Our engineering team actively leverages Agentic AI tools and AI-assisted IDEs to enhance our daily workflows, accelerate coding, and focus on solving complex architectural challenges.

Previous experience in Fintech, billing, or payment systems.

Experience working with microservices architecture.

Familiarity with AWS.

What we offer:

- A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.

- Smart, dynamic people with whom you can share the experience of building something unique.

- Competitive salary with opportunities for growth and advancement.

A Note on Recruiting Outreach

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

Location & Eligibility

Where is the job

Tel Aviv, Israel

Hybrid, some on-site time required

Who can apply

About this job

Who can apply: Israel
Posted: 22 days ago
Employer: has 57 open jobs on Jobera in 2 countries.

Listing Details

Posted: October 1, 2026
First seen: October 1, 2026
Last seen: October 23, 2026

Posting Health

Days active: 21
Repost count: 0
Trust Level: 32%
Scored at: October 23, 2026

Signal breakdown

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Lendbuzz is an AI-powered auto finance platform that provides car loans to individuals with limited or no U.S. credit history, using machine learning algorithms to assess creditworthiness.

Employees

201-500

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