Software Development Engineer 2 Fulfilment

Software Development Engineer 2 – Fulfilment

About Urban Company

Urban Company is Asias largest tech-enabled home services marketplace, operating across India, UAE, Singapore, and Saudi Arabia. Customers use our platform to book a wide range of services — beauty and grooming, cleaning, plumbing, carpentry, appliance repair, painting, and more — delivered at home, at a time of their choosing. Behind this simple promise sits a deep technology stack that matches millions of customers with trained, background-verified service partners while guaranteeing a standardised, high-quality, and reliable experience every single time.

About the Fulfilment Team

The Fulfilment team sits at the heart of Urban Companys marketplace — we make sure every customer gets the right service, from the right partner, at the right time. We do this through three core charters:

- Planning & Shaping: Efficiently planning supply to meet forecasted customer demand, and intelligently shaping that demand to meet business goals.

- Capacity Management: Managing partner time and computing real-time availability of UC services for any given time slot, customer location, business category, and skill requirement.

- Allocation & Recovery: Assigning the most suitable partner for each job while maintaining fairness in partner earnings, and protecting customer experience in cases of no-shows, cancellations, or partner unavailability.

These are classic marketplace optimization problems — forecasting, matching, scheduling, and real-time recovery — solved at the scale of millions of monthly service requests.

: SDE-2

We are looking for experienced Software Development Engineers (SDE-2) to join our Fulfilment team. You will work on complex, high-impact engineering challenges — the systems you build directly determine whether a customers booking is fulfilled seamlessly and whether a partner earns fairly. If you enjoy problems that blend distributed systems, optimization, and real-world operational constraints, this is the team for you.

Responsibilities

- Design and build scalable, high-performance, fault-tolerant systems and services that power supply planning, capacity, and allocation.

- Develop and optimize intelligent algorithms and ML/AI-driven solutions for demand forecasting, capacity planning, and partner–job matching.

- Own features end-to-end — from ideation and design to deployment, monitoring, and iteration across a modern tech stack.

- Raise the bar on the teams engineering practices: code quality, system architecture, observability, and operational excellence.

- Collaborate cross-functionally with Product, Analytics, and Data Science teams to translate business problems into robust technical solutions.

What Are We Looking For

- Experience: 2–3 years of experience building large-scale backend applications or Products.

-Technical Strength: Strong foundation in Data Structures, Algorithms, OS, Networks, and Database fundamentals, with a good understanding of distributed systems, concurrency, caching, and scalable architectures.

- Backend Skills: Proficiency in at least one backend language (Node.js, Java, Go, or Python). Experience with databases (MongoDB, PostgreSQL, MySQL) and messaging systems like Kafka is a plus; exposure to cloud platforms and production observability is desirable.

- AI Fluency: Hands-on experience leveraging AI in day-to-day engineering — using AI-assisted development tools (e.g., Copilot, Cursor, Claude) to ship faster, and/or building with LLMs, ML models, or intelligent automation in production systems. Curiosity to apply.

- AI to real marketplace problems is a strong plus.

- Mindset: Bias for action, end-to-end ownership, and comfort with ambiguity.

- Team Player: Ability to work collaboratively with diverse teams and stakeholders.

Why Join Us

- Work on marketplace-scale optimisation problems that few companies in the region get to solve.

- High ownership from day one — your systems ship to millions of users.

- A culture that rewards initiative, craftsmanship, and first-principles thinking.