Senior Backend Engineer

Why Qlub:
The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting.
From Pay-at-Table and Digital Menus to Order-and-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit.
We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage.
The role:
qlub is scaling fast across markets worldwide, and we look for people who take real ownership of their work. As our next Senior Backend Engineer – Payments, you'll help drive our growth across our engineering and payment platforms by building secure, scalable, and reliable products from day one.
You'll work closely with product, engineering, operations, and external partners to deliver seamless payment experiences for restaurants and diners. You will also use AI-assisted development practices throughout the software development lifecycle and contribute to
AI-powered and agentic systems that can reason, retrieve information, use tools, and execute controlled workflows.
If you thrive in a fast-moving, build-from-scratch environment and enjoy solving complex problems across payments, integrations, and AI-enabled software, this role is for you.
What you'll own:

Design, build, and operate secure, scalable, and highly reliable payment services, including payment gateways, transaction processing, reconciliation, and settlement flows

Deliver backend features using Golang across customer-facing, restaurant-facing, and internal platforms

Build and maintain integrations with POS systems, payment providers, financial partners, and other third-party platforms

Use AI-assisted development tools for discovery, implementation, debugging, testing, code review, documentation, and refactoring while maintaining strong engineering quality standards

Design and develop AI-powered and agentic workflows that can retrieve data, call tools, interact with internal systems, and execute controlled actions

Implement appropriate permissions, human approvals, guardrails, observability, auditability, and fallback mechanisms for agentic systems

Identify performance bottlenecks and improve the speed, reliability, security, and cost efficiency of payment and AI-powered workflows

Write clean, maintainable, tested, and well-documented code that follows software engineering and financial-system security best practices with AI

Contribute to technical design discussions, architecture decisions, engineering standards, and continuous improvement across the team

Who you are:

You've built and operated production software in a fast-moving, high-growth environment

You move fast and make strong technical decisions with incomplete information

You take real ownership and think like an operator, not a coordinator

You're energized by hard problems in payments, integrations, distributed systems, AI, and customer experience

You use AI development tools pragmatically to improve speed and quality without compromising security, maintainability, or engineering judgement

You collaborate effectively with engineers, product teams, operations teams, and external technical partners

What you'll need:

Proven experience building production-grade backend software applications

Hands-on experience with Golang

Experience designing and implementing secure and scalable software solutions

Strong knowledge of REST APIs, microservices, asynchronous processing, and distributed systems

Proficiency in databases, data modelling, and database design concepts

Experience with POS systems, payment providers, or complex third-party integrations

Experience building or integrating production AI applications

Practical experience with LLM APIs, tool calling, retrieval-augmented generation, or agentic workflows

Understanding of AI-system risks, including hallucinations, prompt injection, data leakage, non-deterministic behaviour, and unsafe tool execution

Experience with automated testing, observability, debugging, and performance optimization

Excellent problem-solving and communication skills

Fluency in English is a must

Nice to have:

Experience in payments, fintech, hospitality tech, or a high-growth marketplace

Experience with payment gateways, transaction processing, settlement, reconciliation, or chargeback systems

Experience building AI agents that interact with APIs, databases, internal tools, or operational workflows

Experience with model evaluation, prompt management, AI observability, guardrails, or LLM cost optimization

Experience with vector databases, embeddings, semantic search, or retrieval systems

Experience with cloud platforms, containerized services, CI/CD, and infrastructure-as-code

Familiarity with PCI DSS, data privacy, and secure software-development practices

What we offer:

Real ownership over products that impact millions of diners and thousands of restaurants globally

The opportunity to solve challenging problems in payments, hospitality, AI, and customer experience

A fast-moving environment where great ideas quickly become reality

Close collaboration with experienced operators, builders, and industry experts

The opportunity to shape how AI-assisted and agentic development is used across real-world payment products

A chance to leave a visible mark on one of the fastest-growing restaurant technology companies globally

Ready to build? Join us and help shape how the world pays at the table. If that excites you, apply now

Originally posted on Himalayas