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Backend Engineer (Python)
Backend Engineer (Python)
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Backend Engineer (Python)

Nikita Sinha's profile picture
Posted by Nikita Sinha
5 - 10 yrs
Upto ₹40L / yr (Varies
)
Bengaluru (Bangalore)
Skills
skill iconPython
RESTful APIs
Microservices

As a Backend Engineer, you will be a core member of the Platform Implementation Team, responsible for building the robust, scalable, and secure backend infrastructure for a multi-cloud enterprise Data & AI platform.


You will design and develop high-performance microservices, RESTful APIs, and event-driven architectures that serve as the backbone for enterprise-wide applications.

Working closely with Platform Engineers, Data Modelers, and UI teams, you will ensure seamless data flow between core business systems (CRM, ERP) and the platform, enabling the rollout of critical business services across multiple global Local Business Units (LBUs).



Backend Development

  • Design and develop scalable backend services and microservices
  • Build and maintain RESTful APIs for enterprise applications
  • Define and maintain API contracts using OpenAPI/Swagger

Platform & System Integration

  • Enable seamless integration between enterprise systems (CRM, ERP) and the platform
  • Support data flow across multiple global business units

Event-Driven Architecture

  • Implement asynchronous processing and event-driven systems
  • Work with message brokers and streaming platforms

Cross-Functional Collaboration

  • Collaborate with platform engineers, data modelers, and frontend teams
  • Contribute to architecture discussions and backend design decisions

Must-Have Skills

Experience

  • 5–7 years of hands-on experience in backend software engineering
  • Experience building enterprise-grade backend systems

Core Programming

Strong proficiency in at least one backend language:

  • Python
  • Node.js
  • Java

Strong understanding of:

  • Object-oriented programming (OOP)
  • Functional programming principles

API & Microservices

  • Extensive experience building RESTful APIs
  • Experience designing microservices architectures
  • Ability to define API contracts using OpenAPI / Swagger

Cloud Infrastructure

Hands-on experience with cloud platforms:

  • Google Cloud Platform (GCP)
  • Microsoft Azure

Examples of services:

  • Cloud Functions
  • Cloud Run
  • Azure App Services

Database Management

Experience with both Relational and NoSQL databases

Relational:

  • PostgreSQL
  • Cloud SQL

NoSQL:

  • Schema design
  • Complex querying
  • Performance optimization

Event-Driven Architecture

Experience with asynchronous processing and message brokers:

  • GCP Pub/Sub
  • Apache Kafka
  • RabbitMQ

Security & Authentication

Strong understanding of:

  • OAuth 2.0
  • JWT authentication
  • Role-Based Access Control (RBAC)
  • Data encryption

Software Engineering Best Practices

  • Writing clean, maintainable code
  • Version control using Git
  • Writing unit and integration tests
  • Familiarity with CI/CD pipelines
  • Containerization using Docker

Good-to-Have Skills

AI & LLM Integration

  • Experience integrating Generative AI models
  • Exposure to:
  • OpenAI
  • Vertex AI
  • LLM gateways
  • Retrieval-Augmented Generation (RAG)

Frontend Exposure

Basic familiarity with frontend frameworks such as:

  • React
  • Next.js
  • Angular

Understanding how backend APIs integrate with UI applications

Advanced Data Stores

Experience with:

  • Vector databases (Pinecone, Milvus)
  • Knowledge graphs

Domain Knowledge

  • Experience in Life Insurance or BFSI sector
  • Understanding of enterprise data governance and compliance standards
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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Read more

Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

Company video

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Bengaluru, Mumbai, and Trivandrum

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Sameer Balpande

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