Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 700+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, and a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.
Job DescriptionJob Profile: Backend - Software Development Engineer III - Crew Team
Base Location: Bangalore
Years of Experience: 6 - 8
About the team and the role;
The Crew team builds Swiggy's AI-powered concierge and customer experience platform. We own the full stack — intelligent conversational agents, real-time
chat infrastructure, CRM systems, internal operations dashboards, and user management services. Our systems power millions of daily customer interactions
across verticals including Restaurants, Travel, Gifting, Cab Booking, and Dining Out, backed by distributed systems running on Go, Python, and React.
The SDE3 / Tech Lead will own architectural decisions end-to-end, lead projects independently, mentor engineers, and partner with product to translate business needs into scalable, production-grade solutions.
What will you get to do here?
- Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
- Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions.
- Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
- Implementation of long term technology vision for your team.
- Creating architectures & designs for new solutions around existing/new areas
- Decide technology & tool choices for your team & be responsible for them.
- Designing distributed systems that power real-time conversational AI, search, and customer engagement at scale
- Architecting LLM-based agent pipelines and embedding-based search systems
- Building and scaling real-time communication and CRM infrastructure
- Leading design reviews, architecture discussions, and driving engineering best practices
- Owning system reliability: instrumentation, observability, and designing for scale from day one
- Mentoring engineers and raising the overall engineering bar
What qualities are we looking for?
- B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 6 – 8 years of Experience in Product Development Company
- Sound knowledge and application of algorithms and data structures with space and me complexities
- Strong experience building and operating distributed systems — message queues, event-driven architectures, search engines, caching, async processing
- Proficiency in Go or Python (ideally both)
- Demonstrated ability to lead projects independently from design to production
- Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems
- Solid system design skills — comfortable owning end-to-end architecture
- Experience with NoSQL databases, search engines (Elasticsearch/OpenSearch), and AWS
- AI-native mindset: Active user of AI coding tools (Claude, Copilot, Cursor) or eagerness to adopt them
- Hands-on experience with AI/ML systems — LLM integration, embedding models, or prompt engineering in production
- This Experience building conversational AI or agent-based systems in production
- Familiarity with LLM orchestration, RAG patterns, or multi-agent architectures
- Track record of mentoring engineers and elevating team capabilities
- Experience with real-time communication systems and search/ranking infrastructure
Visit our tech blogs to learn more about some of the challenges we deal with:
- https://bytes.swiggy.com/smart-select-tailored-cart-suggestions-38267fdca12b
- https://bytes.swiggy.com/automating-mobile-event-verification-1d840f39d300
- https://bytes.swiggy.com/improving-video-cache-hits-on-swiggy-apps-610f395fff46
- https://bytes.swiggy.com/a-deep-dive-into-dynamic-widget-swiggys-server-driven-ui-system-92cdc3b16ec6
- https://bytes.swiggy.com/building-a-robust-mobile-platform-team-2ee40cce8670
- Media on Swiggy’s Mobile Apps. Swiggy believes that a seamless and… | by Vignesh Muralidharan | Swiggy Bytes — Tech Blog
- https://bytes.swiggy.com/swiggy-design-language-system-1ef9cca11186
- https://bytes.swiggy.com/gradle-incremental-test-runner-125cee1e68a7
- https://bytes.swiggy.com/swiss-knife-that-powers-the-swiggy-app-dff9dc49a580
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
Skills Required
- B.Tech or M.Tech in Computer Science or equivalent degree
- 6–8 years of experience in product development
- Strong knowledge of algorithms and data structures
- Experience building and operating distributed systems, including message queues, event-driven architectures, search engines, caching, and asynchronous processing
- Proficiency in Go or Python
- Ability to lead projects independently from design through production
- Experience writing maintainable, scalable, and efficient code
- Strong system design and end-to-end architecture skills
- Experience with NoSQL databases, Elasticsearch or OpenSearch, and AWS
- Active use of AI coding tools such as Claude, Copilot, or Cursor, or eagerness to adopt them
- Hands-on experience with AI/ML systems, including LLM integration, embedding models, or production prompt engineering
- Experience building conversational AI or agent-based systems in production
- Familiarity with LLM orchestration, RAG patterns, or multi-agent architectures
- Track record of mentoring engineers and improving team capabilities
- Experience with real-time communication systems and search or ranking infrastructure
Swiggy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Swiggy and has not been reviewed or approved by Swiggy.
-
Equity Value & Accessibility — Equity grants and recurring liquidity events are ongoing, and feedback suggests office employees value this as part of total compensation. These programs provide a meaningful wealth‑creation lever by India tech standards.
-
Parental & Family Support — Gender‑neutral parental policies were expanded with extended leave, flexible/part‑time options, bonding leave, fertility/adoption support, and structured re‑entry. Feedback suggests these updates are viewed as progressive and supportive for caregiving.
-
Healthcare Strength — Company‑paid accident insurance for delivery partners includes hospitalization and OPD cover with extensions to family members. This safety net is notable within the gig‑economy context.
Swiggy Insights
What We Do
Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people. *We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
