Backend Engineer

Kamakhya Analytics Private Limited; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Kamakhya Analytics Private Limited in Bengaluru is seeking a Senior Backend Engineer with 2–8 years of experience to own the backend of analytics-driven web applications, building scalable APIs, data models, and reliable systems.

You will work with Python frameworks (Django, FastAPI, Flask), manage PostgreSQL and MongoDB, containerize with Docker, and deploy on AWS. You’ll participate in code reviews, ensure test coverage, and leverage AI tools to accelerate delivery.

Qualifications

• 2–8 years of professional backend development experience.
• Strong proficiency in Python.
• Hands-on experience with Django, FastAPI, or Flask.
• Experience with PostgreSQL and MongoDB.
• Git/GitHub and version control workflows.
• Proven experience designing and implementing RESTful APIs.
• Familiarity with containerization (Docker).
• Experience using AI tools to improve development workflows.

Responsibilities

• Design, build, and maintain robust, scalable backend services and RESTful APIs using Python.
• Take end-to-end ownership of assigned features—from design through implementation, deployment, and maintenance.
• Model and optimize data storage across SQL and NoSQL databases to support analytics workloads.
• Build and maintain integrations that serve clean, structured data to the frontend and analytics layers.
• Participate actively in code reviews and uphold engineering best practices.
• Translate business and product requirements into reliable technical solutions.
• Use AI tools in day-to-day workflow to accelerate delivery without compromising code quality.
• Troubleshoot, debug, and resolve issues across the backend stack with initiative.
• Write clean, efficient, well-documented, and well-tested code.

Skills

Python

RESTful APIs

Django/FastAPI/Flask

PostgreSQL

MongoDB

Git/GitHub

AI tools

pytest

Tools

Django

FastAPI

Flask

Docker

AWS

GitHub

Job description

We're looking for a Senior Backend Engineer with 2–8 years of experience to join our Software Development team. You'll own the backend of analytics-driven web applications end to end - building scalable APIs, designing data models, and ensuring the systems that power our data visualization and tracking products are fast, reliable, and maintainable. The ideal candidate is a strong Python developer who takes ownership, writes clean code, and uses modern tooling (including AI) to ship quality work on time.

Responsibilities

• Design, build, and maintain robust, scalable backend services and RESTful APIs using Python.
• Take end-to-end ownership of assigned features - from design through implementation, deployment, and maintenance.
• Model and optimize data storage across SQL and NoSQL databases to support analytics workloads.
• Build and maintain integrations that serve clean, structured data to the frontend and analytics layers.
• Participate actively in code reviews and uphold engineering best practices.
• Translate business and product requirements into reliable technical solutions.
• Use AI tools in your day-to-day workflow to accelerate delivery without compromising code quality.
• Troubleshoot, debug, and resolve issues across the backend stack with initiative.
• Write clean, efficient, well-documented, and well-tested code.

Required Skills

• 2–8 years of professional backend development experience.
• Strong proficiency in Python.
• Hands-on experience with at least one Python web framework - Django, FastAPI, or Flask.
• Solid experience with both RDBMS (PostgreSQL) and NoSQL (MongoDB) databases.
• Strong command of Git/GitHub and version control workflows.
• Proven experience designing and implementing RESTful APIs.
• Sound understanding of software architecture principles and design patterns.
• Experience with testing frameworks (e.g., pytest).
• Comfort integrating AI tools into daily development to improve speed and quality.
• Strong problem-solving ability and logical reasoning.
• Familiarity with containerization (Docker).

Good to Have

• Experience working with large or analytics-heavy datasets.
• Set up and improve CI/CD pipelines, deployment workflows, and AWS-based infrastructure.
• Experience deploying and managing applications on AWS.
• Practical experience with CI/CD pipelines and deployment automation.