- Familiarity with ML model deployment and MLOps workflows.

About the Company :

We are a leading on-demand delivery platform, operating across multiple countries and connecting millions of users to restaurants, supermarkets, pharmacies, retail stores, and more. With a mission to make everyday life easier, our ultra-fast commerce vertical is redefining convenience by delivering customer orders in 10 minutes or less through strategically located dark stores and micro-fulfillment centers.

Our ecosystem combines cutting-edge technology, advanced data science, AI-driven forecasting, and last-mile logistics optimization to ensure products are always available at the right time, in the right place.

About the role :

We are looking for passionate Full Stack Engineers (with a backend focus) to join our tech team and help us design, architect, and scale the core systems of our AI-powered SaaS platform. This platform is built to help enterprises optimize supply chains, reduce wastage, and become more efficient, sustainable, and profitable.

Youll be working directly with the cross-functional teams, tech leads and product teams to build scalable services and user-friendly interfaces from the ground up. If you thrive in a fast-paced environment, love solving system challenges, and want to own critical pieces of a global SaaS product, wed love to meet you.

Responsibilities :

- Architect, design, and deliver highly scalable backend systems, APIs, and data pipelines for an AI-driven SaaS platform.

- Build responsive, intuitive front-end interfaces and dashboards that make complex supply chain insights easy to act on.

- Ensure platform robustness, security, and high availability to support real-time decision-making.

- Work cross-functionally with product managers, data scientists, and engineers to translate business requirements into elegant technical solutions.

- Drive engineering best practices (CI/CD, testing, code reviews, observability) to maintain high-quality, reliable software.

Qualifications :

- B.Tech/B.Eng in Computer Science or IT from a reputed university.

- 2+ years of experience in full stack development with backend-heavy expertise.

- Strong backend experience : REST APIs, Python, Django, Docker, PostgreSQL/RDS, MongoDB, Redis, AWS/GCP.

- Frontend skills : React.js, Redux, HTML, CSS, JavaScript, Material UI (or similar), charting libraries (Highcharts/D3/Recharts).

- Solid understanding of OOP, Data Structures & Algorithms, and system scalability.

- Experience solving system design and data scalability challenges.

- Analytical and data-driven approach to problem solving.

Preferred Qualifications :

- Experience with distributed systems, caching, and event-driven architectures (Kafka, RabbitMQ).

- Exposure to Big Data pipelines (Spark, Flink) and interactive analytics dashboards.

- Familiarity with ML model deployment and MLOps workflows.

- Previous experience in SaaS, supply chain tech, quick commerce, or logistics platforms.