Software Development Engineer

2 days ago

Saket Delhi, India Flickd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Location:DelhiDuration:3–6 months (PPO opportunity)Commitment:70–90 hours/week - expect pressure, not perks.About FlickdfeedFlickdfeedis building thevirtual try-on and personalised fashion feedthat lets userssee how clothes look on thembefore they buy.We're mergingAI, commerce, and dopamine-level UXto make online shopping feel as fluid as scrolling TikTok.Under the hood, Flickdfeed runs on an ambitious backend stack - powering real-time personalization, AI try-on generation, and feed ranking across thousands of SKUs.Every millisecond matters. Every API call counts.This isn't a "backend internship."It'sbackend under fire.What You'll DoYou'll help architect, build, and optimize Flickdfeed's core backend - fromAI pipelinestoinfra scalingtofeed ranking systems.Build REST APIs and microservices using Spring Bootand PostgreSQL.- Design and optimize data flowsfor personalization, try-on generation, and product recommendation.- Work on infra performance, caching, scaling, and monitoring— real systems, not demos.- Collaborate with frontend and AI engineers to ship fast, connected experiences.- Write clean, modular, production-readycode that runs under load.- Debug things that break at 3 AM - and take pride in fixing them before sunrise.Our StackSpring Boot+ Java 17- MySQL / Redis / RabbitMQ- AWS / Cloud Run / Docker / CI-CD Pipelines- Python microservicesfor AI, embedding, and personalization- Realtime feed systems, API gateways, and AI orchestration layersYou'll Fit Right In If YouDream in system design diagrams and wake up thinking about latency.Love optimizing for milliseconds and debugging deadlocks.Know that clean architecture > fancy frameworks.Are obsessed with logs, metrics, and infra stability.Prefer building something complex over explaining something simple.Can't stand corporate fluff - only working code earns respect.Are okay working till 3 AM if it means shaving 200ms off an API.Bonus PointsExperience with ML model serving, AI inference APIs, or image processing systems.- Comfort with Kubernetes, Cloud Run, or Docker-based infra.- Experience with load testing, distributed systems, or observability tools.- You've built something heavy - not pretty, but real.Why JoinYou'll see what it takes to run areal AI x consumer system at scalenot a toy project.You'll work directly with founders and ship backend that drives Flickdfeed's core experience.You'll learninfra, architecture, and ownershipfaster here than anywhere else.This is a grind.But if you make it, you'll walk out not just as a developer - but as an engineer who can build and run anything.

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