Back End Developer

Role Overview

Were looking for a backend engineer with 1 to 3 years of experience, who can own the entire backend ecosystem end-to-end - from writing APIs to designing scalable infrastructure on AWS. This role goes beyond coding: youll be responsible for system design, infrastructure decisions, performance optimization, and cost efficiency, while also integrating AI-driven capabilities into the platform.

What Youll Own

Build and maintain high-performance backend systems using Node.js

Design and manage scalable architecture on AWS (end-to-end ownership)

Handle database design and optimization using MongoDB

Architect systems for high availability, fault tolerance, and scalability

Continuously stabilize and improve system performance under load

Optimize infrastructure to reduce AWS costs without compromising performance

Design and implement AI-powered backend workflows and integrations

Own infra + backend + deployment pipelines (DevOps mindset expected)

Key Responsibilities

Develop clean, scalable APIs and backend services

Design system architecture and infra architecture from scratch

Work on auto-scaling, load balancing, caching, and queue systems

Monitor systems and proactively fix bottlenecks

Optimize DB queries, indexing, and data flow in MongoDB

Build and maintain CI/CD pipelines

Collaborate with product and frontend teams to ship fast

Ensure security, reliability, and performance at scale

Must-Have Skills

Strong experience with Node.js (backend-heavy work)

Deep expertise in AWS (mandatory):

EC2, S3, Lambda

API Gateway

RDS / DynamoDB / MongoDB (Atlas)/Postgre SQL

CloudWatch, IAM

Strong understanding of system design & distributed systems

Hands-on experience with MongoDB (schema design, scaling, optimization)

Experience with infra design on AWS from scratch

Proven experience in scaling systems and handling production load

Experience in reducing AWS infra cost (very important)

Good to Have

Experience integrating AI/ML APIs (OpenAI, vector DBs, embeddings, etc.)

Knowledge of Docker, Kubernetes (or ECS/EKS)

Experience with message queues (Kafka, SQS)

Familiarity with real-time systems (WebSockets, streaming)

What Were Looking For

Someone who doesnt just write code but thinks in systems

Ability to go from 0 scalable architecture

Strong ownership mindset you build it, you run it

Focus on speed + stability + cost efficiency

Can handle ambiguity and turn it into working systems

Bonus Points

Built or scaled a product from early stage

Experience with AI-first or automation-driven products

Previously optimized infra leading to significant cost savings