Backend Engineer

Job Title: Backend Developer (Full Time)

Location: Remote

Interview: Virtual Interview

Experience Required: 3+ Years

Backend / API Development (About the Role)

• Strong proficiency in Python (FastAPI) or Node.js (Express) (Python preferred).
• Proven experience in designing, developing, and integrating APIs for production-grade applications.
• Hands-on experience deploying to serverless platforms such as Cloudflare Workers, Firebase Functions, or Google Cloud Functions.
• Solid understanding of Google Cloud backend services (Cloud Run, Cloud Functions, Secret Manager, IAM roles).
• Expertise in API key and secrets management, ensuring compliance with security best practices.
• Skilled in secure API development, including HTTPS, authentication/authorization, input validation, and rate limiting.
• Track record of delivering scalable, high-quality backend systems through impactful projects in production environments.

• Hands on Work experience as a Python Developer
• Hands on Work experience in SQL/PLSQL 
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Willingness to learn & upgrade to Big data and cloud technologies like Pyspark Azure etc.
• Team spirit
• Good problem-solving skills
• Write effective, scalable code

About Role

We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.

This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features

Key Responsibilities

• Design, develop, and maintain scalable backend services using Python
• Build APIs and services using FastAPI, Flask, or Django
• Ensure performance, reliability, and scalability of backend systems
• Integrate AI/ML models into production systems (model inference, automation)
• Build and maintain AI pipelines for data processing and inference
• Deploy and manage applications on AWS, with exposure to GCP and Azure
• Implement CI/CD pipelines, containerization, and cloud deployments
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Optimize cloud infrastructure for cost, performance, and reliability
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Follow best practices for security, monitoring, and logging

Required Qualifications

• 2–4 years of professional experience in Python development
• Strong understanding of backend frameworks: FastAPI, Flask, Django
• Hands-on experience integrating AI/ML systems into applications
• Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
• Exposure to Google Cloud Platform (GCP) and Microsoft Azure
• Experience with Docker and CI/CD workflows
• Understanding of scalable system design principles
• Strong problem-solving and debugging skills
• Ability to work collaboratively in a product-driven environment

Perks and Benefits

• Work in Nikhil Kamath funded startup
• ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
• Opportunity to build long-term wealth through ESOP participation
• Work on production-scale AI systems used in real-world applications
• Hands-on experience with AWS, GCP, and Azure architectures
• Work with a team that values clean engineering, experimentation, and execution
• Exposure to modern backend frameworks, AI pipelines, and DevOps practices
• High autonomy, fast decision-making, and real ownership of features and systems

• Strong in data structure and algorithms
• Experience in Java, Express, API Design & DOM
• Understanding of component based design or other design patterns
• Experience with unit testing, integration testing & continuous integration
• RDBMS and NoSQL databases preferably PostgreSQL, MongoDB
• Good to have passion for investing

• Attractive compensation package - competitive salary, flexible bonus scheme.
• We are always looking for ways to promote and inspire innovation.
• Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi-national IT professionals.
• Healthy work environment - company-sponsored medical program, food, and beverage program, open communication.
• Friendly policies to support Work-life balance, team building, and celebrations.

Key roles:

·       Develop backend application with clean code practices foe the application

·       Collaborate with frontend developers to integrate user-facing elements with server side logic

·       Troubleshoot and debug application

·       Gather and address technical and design requirements

·       Build reusable code and libraries for future user-facing

·       Communicate with other third-party team for collaborations

Skillset:

·       Core Java - Hands on experience with Jdk 11 and above

·       Experience with code hosting and collaboration tools like Bitbucket/Github/GitLab

·       Microservice architecture - Rest API calls, inter-service exception handling

·       Non-relational DB - MongoDB basic DB commands to insert, update, delete, find records and Indexing

·       Springboot framework - Spring Data JPA, ORM

·       Event driven architecture - Kafka

·       Tools like Postman, Jenkins, Doppler, IDE, MongoDB atlas

Qualifications:

·       UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Any Specialization

·       PG: Any Postgraduate

• Experience in Web and Mobile Applications
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Experience in Java, Python.
• Deep understanding of data structures and microservices.
• Knowledge of Node.js
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Familiarity with front-end technologies
• User authentication and authorization between multiple systems, servers, and environments
• Interaction with multiple data sources
• Good understanding of SQL
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git .