Lead Backend Engineer (ROR) - Pakistan TECH Recruiter

Our client is the Middle East's leading on-demand grocery delivery platform — connecting millions of customers with supermarkets, dark stores, and specialty retailers across the UAE and beyond. Our backend powers a complex, real-time operation: inventory availability, order lifecycle, logistics coordination, and third-party integrations that have to work in concert, at scale, every day.

The Role

• We are looking for a Lead Backend Engineer who measures their impact not by how much they personally write — but by how much gets built, reviewed, and shipped while they are thinking about the next architectural decision.
  
• This is a pure IC role. No people management, no meetings for the sake of meetings. What you will have instead is deep ownership: of a Rails codebase evolving from a monolith into a well-decomposed system, of a suite of AI coding agents already in use at elGrocer that you will sharpen and extend, and of the craft of backend engineering at a level where architecture and delivery are inseparable.
• You will work directly with our Staff Engineer, translating architectural direction into systems that are clean, robust, and built to outlast the sprint that created them.

• →Own the design and delivery of complex backend systems within our Rails platform — from API contracts and data modeling to service decomposition and async patterns
• →Lead the ongoing evolution of our monolith: identifying seams, proposing decomposition strategies, and executing incrementally without disrupting live operations
• →Set the technical standard for backend code quality — through design, review, and the kind of feedback that makes engineers better
• →Collaborate with the Staff Engineer on architectural decisions, bringing implementation-level insight that shapes strategy from the ground up
• →Diagnose and resolve performance bottlenecks, scalability constraints, and systemic issues in a production system that does not sleep

• Take ownership of elGrocer's AI coding agent setup — Cursor, Claude, Copilot and custom workflows already in use — and make them sharper, faster, and more deeply embedded in how we deliver software
• Build and refine agent workflows that handle the repeatable: boilerplate generation, test coverage, documentation, code review scaffolding — so human attention goes where it matters most
• Develop judgment around AI-generated output that the wider team can learn from: when to accept, when to push back, when to rewrite entirely
• Treat your agent setup as part of your engineering toolkit — something you tune continuously, not something you configure once
• Contribute to a culture where the question is not 'should we use AI here' but 'how do we use it well here

• Experience in e-commerce, marketplace, or on-demand delivery platforms
• Exposure to building or customizing AI agent pipelines beyond off-the-shelf tooling
• Familiarity with event-driven architectures, background job patterns, and API design at scale

• There is a version of this job where you close twelve tickets a week and call it a good sprint. That is not the version we are hiring for.
  
  
• We are hiring for the version where your agents handle the scaffolding, your architecture decisions reduce future tickets from ever being created, and your code review raises the floor of what the team considers acceptable. The output is not measured in lines — it is measured in what the system can do six months from now that it cannot do today.
• If you have already started thinking about your AI tools as a junior engineer who needs direction, context, and the occasional correction — you will feel at home here.

• Backend: Ruby on Rails (primary)
• Infrastructure: Azure, Kubernetes
• Data: PostgreSQL, Redis, event-driven patterns
• AI Tooling: Cursor, Claude, Copilot, custom agent workflows (already in use)
• Tooling: GitHub, CI/CD pipelines, observability stack

• A codebase with real architectural problems worth solving — not greenfield abstraction, but production complexity that requires taste and judgment
• An AI tooling culture that is already moving — you are joining to lead it forward, not to convince anyone it is worth trying
• Direct line to architectural decision-making through a Staff Engineer who values implementation insight
• Remote-first, high-trust, async-friendly — your output matters more than your timezone
• A platform used by millions across the Middle East, where backend decisions have visible, real-world consequences
• You will work with a great team
  
• Lot of learning opportunities and experience of lifetime
  
• You will part of great culture
  
• Congenial Atmosphere
  
• Excellent and Market competitive Gross salary (Depends upon experience, skillset and interview). The salary is taxable (500k to 600k)
  
• Medical Insurance
  
• Gratuity
  
• Annual Leave
  
• Annual Bonus
  
• Causal Leave
  
• Sick Leave
  
• Birthday Leave
  
• Weekly Team Lunch
  
• .Monthly Team Building Activities
  
• Paid Training