Senior Backend Engineer – Python

Location

: Kolkata, India (In-office)

Type

: Full-time

Experience

: 5+ years

About Client

Our client is building a next-generation platform to power

preschools of the future

combining powerful tools for curriculum planning, classroom journaling, communication, and AI-driven insights — all designed to elevate the preschool experience for educators, parents, and school leaders. Built for

web, iOS, and Android

, it blends world-class engineering with deep domain expertise in early childhood education. We're already trusted by forward-thinking preschools across India and globally, and are just getting started.

About The Role

We're looking for a seasoned

Python backend engineer

to join our core engineering team at Agastya – a next-gen EdTech SaaS for preschools. You’ll work closely with the founders and product teams to build scalable, fast, and secure backend services – and power the AI-enabled features that are core to our platform.

Key Responsibilities

• Architect and maintain microservices using Flask and FastAPI
• Design performant, secure, and well-documented APIs
• Optimize systems for scalability and low latency
• Work with GCP services (Cloud Run, Cloud Storage, Firestore, IAM, etc.
• Maintain existing CI/CD pipelines and observability tools (Sentry, logging, etc.)
• Collaborate with mobile/web engineers for full-stack delivery
• Support deployment and scaling of AI/ML features and services
  

Requirements

• 5+ years of backend development experience in Python
• Familiar with AI tools and IDEs like Cursor, Claude Code, etc.
• Deep expertise in Flask and FastAPI frameworks
• Hands-on experience with Google Cloud Platform (GCP)
• Strong understanding of performance optimization and async programming
• Experience with NoSQL databases like MongoDB or Firestore
• Comfortable with Docker and GitHub Actions
• Startup mindset: proactive, execution-oriented, and quality-driven
  

Bonus / Preferred

• Familiarity with foundation model APIs and tools like OpenAI, CoreWeave, Pinecone, LangChain, etc.
• Exposure to building or integrating AI-driven features in production apps
  

Skills: fastapi,flask,firestore,python,mongodb,sentry,gcp,iam,async programming,github,ci/cd,cloud,github actions,nosql,cloud run,ai tools,cursor,docker,claude code,cloud storage