Website:
datasutram.ai
Job details:
We are looking for a SDE III (Backend Engineer) who thrives on end-to-end ownership from architecture and database design to cloud deployment and performance tuning.
Location: Bangalore, India (Hybrid)
Tech Stack: NodeJS / Python / Golang | AWS | SQL & NoSQL
AI-Native: Active daily usage of Cursor, Claude, or Copilot to accelerate SDLC
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.
- 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.
Click on Apply to know more.