Python Developer

Key Responsibilities:

• Design, develop, and maintain full-stack applications using Python and React.
• Collaborate with designers, product managers, and other developers to build user-friendly interfaces and seamless APIs.
• Optimize applications for maximum speed and scalability.
• Write clean, maintainable, and well-documented code.
• Debug and resolve technical issues promptly.
• Implement unit and integration tests to ensure high-quality deliverables.
• Stay updated with the latest industry trends, tools, and technologies.
• Participate in code reviews and contribute to team best practices.

Required Skills and Qualifications:

• 3–5 years of hands-on experience with Python and React.
• Strong understanding of JavaScript, ES6+, and TypeScript (preferred).
• Proficient in building RESTful APIs and integrating with frontend frameworks.
• Experience with state management libraries (e.g., Redux, Context API).
• Familiarity with databases such as MongoDB, PostgreSQL, or MySQL.
• Experience with modern build tools and package managers like Webpack, Babel, NPM, or Yarn.
• Hands-on experience with version control tools, particularly Git.
• Knowledge of containerization and CI/CD pipelines is a plus.

Experience Required: 2-5 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Description

ChicMic Studios is hiring for a highly skilled and experienced Sr. Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential.

Roles & Responsibilities

• Develop, maintain, and scale web applications using Django & DRF.
• Implement and manage payment gateway integrations and ensure secure transaction handling.
• Design and optimize SQL queries, transaction management, and data integrity.
• Work with Redis and Celery for caching, task queues, and background job processing.
• Develop and deploy applications on AWS services (EC2, S3, RDS, Lambda, Cloud Formation).
• Implement strong security practices including CSRF token generation, SQL injection prevention, JWT authentication, and other security mechanisms.
• Build and maintain microservices architectures with scalability and modularity in mind.
• Develop Web Socket-based solutions including real-time chat rooms and notifications.
• Ensure robust application testing with unit testing and test automation frameworks.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Monitor, debug, and optimize application performance, scalability, and reliability.
• Stay updated with emerging technologies, frameworks, and industry best practices.
• Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn.
• Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases.
• Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization.
• Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2-5 years of professional experience as a Python Developer.
• Proficient in Python with a strong understanding of its ecosystem.
• Extensive experience with Django and Flask frameworks. 
• Hands-on experience with AWS services for application deployment and management.
• Strong knowledge of Django Rest Framework (DRF) for building APIs.
• Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Experience with transformer architectures for NLP and advanced AI solutions.
• Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with MLOps practices for managing the machine learning lifecycle.
• Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

We are looking for a skilled Backend Developer with strong experience in building, scaling, and optimizing server-side systems. The ideal candidate is proficient in Node.js, FastAPI (Python), and database design, with hands-on experience in cloud infrastructure on AWS or GCP.

Responsibilities:

Design, develop, and maintain scalable backend services and APIs using Node.js and FastAPI

Build robust data models and optimize performance for SQL and NoSQL databases

Architect and deploy backend services on GCP/AWS, leveraging managed cloud services. 

Implement clean, modular, and testable code with proper CI/CD and observability (logs, metrics, alerts)

Ensure system reliability, security, and high availability for production environments

Requirements:

2–5 years of backend development experience

Strong proficiency in Node.js, FastAPI, REST APIs, and microservice architecture

Solid understanding of PostgreSQL/MySQL, MongoDB/Redis or similar NoSQL systems

Hands-on experience with AWS or GCP, Docker, and modern DevOps workflows

Experience with caching, queueing, authentication, and API performance optimization

Good to Have:

Experience with event-driven architecture, WebSockets, or serverless functions

Familiarity with Kubernetes or Terraform

Job Location: Gurugram, Haryana, India

Industry: Artificial Intelligence

• BS in CS or EE or equivalent
• Experience working on large scale systems in rapid growth environments
• Experience with public cloud offerings (AWS, GCP, Azure)
• Solid programming skills; preferred experience in Java, and/or Python
• Experience with modern web frameworks, advanced algorithms/data intelligence, public
• cloud platforms and streaming data pipelines
• Familiarity with containerization, microservices architecture, continuous integration, and delivery
• 5+ years’ experience preferred

Responsibilities:

• Experience and working knowledge of Java 8, Hibernate, Spring Boot, Microservices and REST API is mandatory
• Expert understanding of the object-oriented design and programming concepts
• Strong problem solving skills, data structures and algorithms and multithreading
• Good understanding of AWS and cloud-native technologies
• Knowledge of AWS services - RDS, DynamoDB, Elastic Search, Kinesis. Experience of working with AWS SDK is preferred.
• Good understanding of CI/CD and Jenkins pipeline
• Experience of writing unit tests using Junit/Mockito
• Knowledge of Integration Testing framework like Cucumber is required.
• Proficient in Git commands and branching concepts

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics