Full stack Developer - Delhi NCR / Remote

Capital Placement Services Gurgaon; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible hybrid/remote

Professional development budget

AI/ML project exposure

Competitive compensation with bonuses

Job summary

Capital Placement Services Gurgaon is seeking an experienced Python and React TypeScript Full Stack Developer to join our engineering team in the United States. You will build scalable web applications, design and consume RESTful APIs and work across multiple databases.

The role emphasizes ML model integration, CI/CD, DevOps, and collaboration with data scientists to productionize features. You will mentor juniors and uphold engineering standards.

Qualifications

• 5+ years of full stack development experience.
• Strong Python and React TS proficiency with production apps.
• Experience designing and consuming RESTful APIs and webhooks.
• Proficient with PostgreSQL, MongoDB and MS SQL Server.
• Experience integrating ML models into production.

Responsibilities

• Develop full stack apps with Python backend and React frontend.
• Architect and implement RESTful APIs and webhook integrations.
• Manage schemas and migrations for PostgreSQL, MongoDB and MS SQL Server.
• Develop, deploy and scale ML models for production.
• Collaborate with data scientists to productionize ML features.
• Write clean, well-tested code and conduct reviews.
• Contribute to CI/CD, IaC, and DevOps best practices.
• Monitor performance and optimize reliability.
• Mentor junior developers and promote learning.

Skills

Python

Django

Flask

FastAPI

React

TypeScript

RESTful APIs

Webhooks

PostgreSQL

MongoDB

MS SQL Server

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Git

SOLID

DRY

Design Patterns

Tools

VS Code

GitHub

MLflow

Postman

Jupyter

Job description

About the Role

We are seeking an experienced Python and React TypeScript Full Stack Developer to join our engineering team. The ideal candidate will bring a strong background in building scalable web applications, designing and consuming RESTful APIs and webhooks, and working across multiple database technologies including PostgreSQL, MongoDB, and Microsoft SQL Server. Hands‑on experience with machine learning models is essential, as you will be responsible for integrating intelligent features into our products.

Key Responsibilities

• Design, develop, and maintain full stack web applications using Python (Django/Flask/FastAPI) on the backend and React on the frontend.
• Architect and implement RESTful APIs and webhook integrations to enable seamless communication between internal and third‑party systems.
• Build and manage database schemas, queries, and migrations across PostgreSQL, MongoDB, and Microsoft SQL Server.
• Develop, fine‑tune, and deploy machine learning models into production environments, ensuring scalability and performance.
• Collaborate with data scientists and product teams to translate ML prototypes into robust, production‑ready features.
• Write clean, maintainable, and well‑tested code with comprehensive unit and integration tests.
• Participate in code reviews, architectural discussions, and sprint planning to maintain high engineering standards.
• Monitor application performance, troubleshoot production issues, and implement optimisations to improve speed and reliability.
• Contribute to CI/CD pipelines, infrastructure‑as‑code, and DevOps best practices.
• Mentor junior developers and contribute to a culture of continuous learning and technical excellence.

Required Skills & Qualifications

• Minimum 5 years of professional experience in full stack development.
• Strong proficiency in Python (Django, Flask, or FastAPI) and React with TypeScript, with a proven track record of building and delivering production‑grade full stack applications.
• Extensive experience designing, building, and consuming RESTful APIs and webhook‑based event‑driven architectures.
• Solid working knowledge of PostgreSQL, MongoDB, and Microsoft SQL Server, including query optimisation and data modelling.
• Hands‑on experience developing, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Familiarity with ML pipelines, feature engineering, model evaluation, and deployment strategies (e.g., MLflow, Docker, Kubernetes).
• Experience with version control systems (Git) and collaborative development workflows.
• Strong understanding of software engineering principles including SOLID, DRY, and design patterns.
• Excellent problem‑solving skills with the ability to work independently and within cross‑functional teams.

Nice to Have

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with message brokers (RabbitMQ, Kafka) and event‑driven microservices architectures.
• Exposure to NLP, computer vision, or recommendation systems.
• Experience with containerisation (Docker) and orchestration (Kubernetes).
• Knowledge of .NET MVC or WebForms is a plus.
• Experience with data visualisation libraries (D3.js, Plotly, or similar).

What We Offer

• Competitive salary and performance‑based bonuses.
• Flexible working arrangements (hybrid/remote options).
• Professional development budget for conferences, courses, and certifications.
• Opportunity to work on cutting‑edge projects involving AI and machine learning.
• Collaborative, supportive team culture with a focus on innovation.
• Generous holiday allowance, pension contributions, and health benefits.