Software Development Engineer III — Backend, Trust & Safety

About this role

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Skills you'll use

What you'll do

• What we do — Trust & Safety keeps Swiggy safe on both sides: the platform stays safe for our consumers, and the platform and our businesses stay protected from fraudsters and bad actors.
• What we build — the real-time risk decisioning platform that sits in the critical path of Swiggy's consumer journeys, detecting and acting on fraud and abuse as it happens, across all of our consumer businesses.
• Stack — low-latency Go microservices, gRPC, event streams, NoSQL stores, caching and AWS, with Python and our data platform powering offline analysis and ML-based risk models.
• Why it's hard — every decision is a two-sided bet. Act too aggressively and we hurt genuine customers; act too little and the business leaks money. And the call has to be made in milliseconds.
• The adversary adapts — patterns that worked last quarter stop working, so the platform has to let risk and business teams respond quickly rather than wait on an engineering cycle.
• Your charter — own architectural decisions end-to-end, lead projects independently, mentor engineers, and partner with product, analytics and business teams to translate risk and customer-experience goals into scalable, production-grade solutions.
• AI-native by design — we are looking for an engineer who has already put AI systems into production at scale, who builds agentic automations to remove friction for the teams around them, and who can point AI at our own systems at scale to find where they break before an attacker does. If that is how you already work, you will have a lot of room to run here.
• Create architectures and designs for new solutions across existing and new areas

Who can apply

• Decide technology and tool choices for your team, and be responsible for them
• Drive the long-term technology vision for the team
• Lead code reviews, design reviews and architecture discussions, and drive engineering best practices
• Experiment with new and relevant technologies, driving adoption while measuring yourself on the impact you create
• Mentor engineers and raise the overall engineering bar
• Design low-latency distributed systems that make real-time risk decisions in the critical path at Swiggy scale
• Architect the signal and feature platform — streaming and batch aggregations, entity-level risk features, served within tight latency budgets
• Make the platform increasingly self-serve, so risk and business teams can ship new checks and policies without an engineering deploy

About SWIGGY

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