Job Description

We are seeking a

Senior Fullstack Developer

with a strong foundation in both

frontend and backend technologies

, and a passion for building high-performance, scalable applications. This role requires hands-on experience in

Python

,

JavaScript/TypeScript

, and modern frameworks such as

React, Vue, or Angular

, along with exposure to

generative AI tools

and

cloud platforms

.


The ideal candidate brings not just technical expertise but also strong leadership, mentoring, and problem-solving capabilities. You will work closely with cross-functional teams to design, develop, and deploy fullstack solutions using the latest technologies.

Requirements

Design, develop, and maintain fullstack applications using Python on the backend and JavaScript/TypeScript with React/Vue/Angular on the frontend. Integrate and consume RESTful and GraphQL APIs. Collaborate with product and design teams to implement intuitive and responsive user interfaces. Implement and integrate Generative AI tools such as OpenAI API, LLaMA, and Hugging Face Transformers into applications. Work with cloud platforms like AWS, Azure, or GCP to deploy and scale applications. Design and manage both SQL and NoSQL databases ensuring performance and scalability. Build and maintain robust CI/CD pipelines to ensure reliable and automated deployments. Utilize Docker and Kubernetes for containerization and orchestration of applications. Provide leadership and mentoring to junior developers and contribute to team growth and code quality. Communicate effectively with stakeholders and team members to manage priorities and deliverables. Troubleshoot, debug, and optimize applications for performance and security. Proven experience as a Fullstack Developer (5+ years), with at least 2+ years in a senior or leadership role. Strong proficiency in Python and JavaScript/TypeScript. Hands-on experience with one or more frontend frameworks: React, Vue, or Angular. Experience working with Generative AI APIs and tools (e.g., OpenAI, Llama, Hugging Face Transformers). Solid understanding of RESTful and GraphQL APIs. Proficiency in cloud services: AWS, Azure, or Google Cloud Platform. Strong background in SQL and NoSQL database design and optimization. Experience setting up and maintaining CI/CD pipelines. Proficient with Docker and Kubernetes in production environments. Excellent problem-solving, communication, and time management skills. Ability to lead projects, mentor team members, and work collaboratively in an agile environment.

Preferred Qualifications:

Contributions to open-source projects or technical blogs. Experience in AI/ML model deployment or MLOps workflows. * Familiarity with serverless architecture or JAMstack.