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Discovr AI Linkedin · Posted 5d ago

SDE 1 - Backend

Mumbai

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Indexed description

SDE 1 - Backend

Location: Mumbai

Work Mode: 5 Days WFO

Experience: 2–3 Years


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About Discovr AI

Discovr AI is building an AI-native infrastructure layer for creator advertising, enabling brands and agencies to automate creator discovery, campaign execution, content intelligence, brand safety, measurement, and reporting. We are building production-grade AI systems and agentic workflows that operate across large volumes of creator, campaign, content, audience, and brand data.


We’re a startup, not a ticket factory. Engineers here get ownership, ambiguity, and the opportunity to build systems from the ground up.


What you'll do

  • Build and scale backend systems and microservices using Golang
  • Design scalable, event-driven architectures and backend infrastructure
  • Build APIs, workers, real-time services, and distributed backend components
  • Own features end-to-end, from problem statement to production
  • Work with MongoDB, PostgreSQL, and AWS
  • Design efficient data models, indexing strategies, and MongoDB aggregation pipelines
  • Collaborate closely with Product, AI, and Frontend teams
  • Debug, optimise, and improve systems as we scale


What we're looking for

  • 2–3 years of backend development experience at an AI / B2B SaaS startup
  • Strong hands-on experience with Golang
  • Experience building and working with microservices
  • Experience designing scalable, event-driven architectures
  • Good understanding of API design, workers, WebSockets, and asynchronous processing
  • Experience with Redis and message queues such as RabbitMQ, Kafka, or AWS SQS
  • Strong understanding of databases, indexing, query optimisation, and MongoDB aggregation pipelines
  • Hands-on experience with MongoDB, PostgreSQL, and AWS
  • Good understanding of DSA and core computer science fundamentals
  • Exposure to TypeScript / JavaScript
  • Experience with Docker, CI/CD, and automated testing
  • Experience working in a startup or high-ownership environment
  • Someone who has built systems from 0→1, preferably owning significant parts independently
  • Strong logical thinking, problem-solving, and engineering fundamentals


Bonus points

  • Python / FastAPI experience
  • Exposure to LLMs, AI agents, RAG, or AI-powered products
  • Experience with distributed systems, caching, observability, or cloud infrastructure
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