Software Engineer

Swiggy
Bangalore
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About Company

Swiggy is India's pioneering on-demand convenience platform, catering to millions of consumers each month.Founded in 2014, its mission is to elevate the quality of life for the urban consumer by offering unparalleled convenience. With an extensive footprint in food delivery, Swiggy Food collaborates with nearly 2 lakh restaurants across 600+ cities. Swiggy Instamart, its quick commerce platform operating in 120+ cities, delivers groceries and other essentials across 40+ categories in 10 minutes.

Fueled by a commitment to innovation, Swiggy continually incubates and integrates new services like Swiggy Dineout and Swiggy Genie into its multi-service app. Leveraging cutting-edge technology and Swiggy One, the country's only membership program offering benefits across food, quick commerce, dining out, and pick-up and drop services, Swiggy aims to provide a superior experience to its consumers.

Our mission is to elevate the quality of life of the urban consumer by offering unparalleled convenience. Convenience is what makes us tick. It’s what makes us get out of bed and say, “Let’s do this.

Responsibilities
  1. Collaborate with cross-functional teams to design, develop, and maintain scalable backend systems and services.
  2. Write high-quality, maintainable code in Java and Go programming languages.
  3. Utilize technologies such as Elasticache, Elasticsearch, Kafka, SQS, DynamoDB, and more to build efficient and reliable backend solutions.
  4. Participate in code reviews to ensure code quality and adherence to best practices.
  5. Contribute to the architecture and design discussions for new features and improvements.
  6. Troubleshoot and debug issues, optimizing performance and addressing scalability challenges.
Qualifications
  1. B.Tech, 2024/2025 graduates with academic knowledge in Computer Science, Software Engineering, or a related field.
  2. Strong programming skills in Java and/or Go
  3. Familiarity with backend development concepts and technologies.
  4. Basic understanding of databases and data modeling principles.
  5. Enthusiasm to learn and work with cutting-edge technologies like Elastic Cache, Elasticsearch, Kafka, SQS, and DynamoDB.
  6. Excellent problem-solving and communication skills.
  7. Ability to work well in a collaborative team environment.
  8. Familiarity with the basics of cloud platforms such as AWS, Azure, or GCP and version control systems (e.g Git)
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