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Backend Engineer

Summary

Build and own core backend services for a logistics SaaS platform, using AI tools daily to design and ship algorithm-driven routing and delivery systems in a distributed environment.

At Bringg, we're on a mission to transform last-mile delivery into a powerful driver of growth, loyalty, and operational excellence. As an AI-powered SaaS platform, we enable retailers and logistics providers to orchestrate smarter, more efficient delivery operations across every fleet type and service level — from same-day to scheduled delivery. We are a multinational company serving leading enterprise and Fortune 500 brands, helping some of the world's most complex delivery organizations streamline operations, enhance customer experiences, and stay ahead in a rapidly evolving market.

What You'll Do

  • Own core services end to end — architecture through production.
  • Build and evolve the algorithm-driven components that power real-time routing and delivery decisions, and understand what's actually happening under the hood
  • Sit in the room for architectural decisions, contributing to system design across a complex distributed environment where choices have real downstream consequences
  • Take features from the first design conversation with product through to production, with full visibility into what you're building and why
  • Develop with AI as your primary tool, setting the standard for what great AI-driven development looks like on a complex, high-stakes system

What You Bringg

  • 3+ years of backend development experience in a modern language (Node.js a strong plus)
  • Real, daily hands-on use of AI development tools — this is a baseline, not a bonus
  • Solid experience with databases: PostgreSQL, Elasticsearch, Redis
  • Experience with microservices and event-driven architectures, with a strong grasp of asynchronous execution models

Strong advantages:

  • Advanced monitoring and observability practices

Why This Role Matters

Your code runs mission-critical infrastructure that the world's largest retail operations depend on — not in a theoretical way, in a "this has to work before the morning shift starts" way. The engineers at Bringg have already made the shift from just prompting to embedding AI into core architectural decisions for higher-quality delivery, and this role is core to pushing that further.

What We Offer

  • A company where your work directly impacts the business
  • The opportunity to shape how AI transforms backend engineering at scale
  • Competitive compensation and benefits
  • Flexible hybrid work from our TLV offices at Azrieli Towers

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • LinkedIn Profile
  • Walk us through a recent backend project where AI played a meaningful role in your development process. How did you use it (architecture, coding, testing, debugging, performance, documentation, etc.), and what value did it add? written answer

See also

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