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 contemporary 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 modern AI-assisted engineering tools (Cursor, Claude, Copilot) or hands-on experience building GenAI/RAG pipelines.

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