Senior Software Engineer

Company Details

Swiggy is India's largest on-demand convenience platform, redefining the way people access food, groceries, and everyday essentials. Established in 2014, Swiggy operates across 500+ cities with a robust logistics network that ensures fast and reliable doorstep delivery. From restaurant meals to groceries via Instamart and hyperlocal pick-up and drop services through Genie, Swiggy has become an integral part of daily life for millions of Indians, combining technology, scale, and convenience in a seamless digital experience.

Job Roles & Responsibilities

As part of Swiggy's Engineering team, you will contribute to building high-performance backend systems that power India's most trusted convenience platform.

Your responsibilities will include:

• Developing and maintaining backend services using Go for logistics and food delivery systems.
• Collaborating with cross-functional teams to gather requirements and architect scalable backend solutions.
• Optimizing backend code to enhance system performance, reliability, and operational efficiency.
• Streamlining backend workflows to support rapid deployments across logistics and food-tech applications.
• Implementing strong quality assurance and engineering best practices to ensure robust, production-ready services.

Ideal candidate profil

• e
  Uses data and analytics to drive innovation within logistics workflows using G
• o.Has an interest in sustainability and agri-techaligned engineering solution
• s.Adapts quickly, delivers fast, and thrives in dynamic product-driven environment
• s.Works collaboratively with global and cross-functional teams to build scalable solution
• s.Tackles complex engineering challenges with clarity, structure, and a problem-solving mindse

t.Skills That Would Be an Advanta

• geExperience with cloud platforms (AWS / GCP / Azur
• e)Familiarity with Docker, Kubernetes, and CI/CD pipelin
• esExposure to message-queue systems (Kafka, RabbitMQ, etc
• .)Understanding of real-time data processi
• ngExperience using monitoring and observability tools such as Grafana, Prometheus, or ELK Sta