We are looking for a Senior Backend Engineer (SDE III) who thrives on end-to-end ownership—from architecture and database design to cloud deployment and performance tuning.

What You’ll Do
Architect & Scale: Design, build, and maintain high-performance, enterprise-grade multi-tenant SaaS applications and microservices.
API & System Integration: Build and maintain resilient RESTful APIs, third-party vendor integrations, schema variations, failure modes, and response normalization.
Cloud & DevOps Ownership: Own feature deployments end-to-end in containerized AWS environments using modern CI/CD pipelines.
AI-Native Workflow: Actively leverage modern AI coding tools (Cursor, Claude, GitHub Copilot) to write, test, debug, and optimize production code, driving SDLC speed and engineering efficiency.
Technical Leadership: Participate in High-Level (HLD) and Low-Level Design (LLD) discussions, conduct thorough code reviews, enforce engineering standards, and mentor team members.

Mandatory Requirements:




6+ years of hands-on backend software engineering experience building and scaling production systems.
Target Industry Background: Proven track record in a Product-based company, Consumer Tech platform (B2C), or B2B SaaS organization. (Candidates from non-product backgrounds must have a Tier-1 academic background such as IITs, NITs, IIITs, BITS, or equivalent).
Core Stack: Strong proficiency in any of Node.js, Python, or Golang.
Database & Architecture: Deep experience in data modeling across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
Cloud & Scale: Solid hands-on experience with AWS (or GCP/Azure), containerization (Docker, Kubernetes), and serverless execution.
AI-Native Mindset: Active daily usage of up-to-date AI-assisted engineering tools (Cursor, Claude, Copilot) or hands-on experience building GenAI/RAG pipelines.

📌 SDE 3 (Mumbai)
🏢 datasutram.ai
📍 Mumbai