About the role
structured by ORISDE 1 - Backend Location: Mumbai Work Mode: 5 Days WFO Experience: 2–3 Years Important: Please complete our Google Application Form: https://forms.gle/c2tzLhq4owARe9t46 It will help us better understand your experience and technical background, and help us fast-track your application through the screening process.…
What you will 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
What they are 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
Nice to have
- Python / FastAPI experience
- Exposure to LLMs, AI agents, RAG, or AI-powered products
- Experience with distributed systems, caching, observability, or cloud infrastructure
Full posting text
SDE 1 - Backend
Location: Mumbai
Work Mode: 5 Days WFO
Experience: 2–3 Years
Important: Please complete our Google Application Form: https://forms.gle/c2tzLhq4owARe9t46
It will help us better understand your experience and technical background, and help us fast-track your application through the screening process.
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
Seniority level: Entry level
Employment type: Full-time
Industries: Technology, Information and Internet