Senior Full Stack Developer

Overview

• Design, develop, and optimize scalable web applications using modern frontend and backend technologies.
• Build and maintain APIs for seamless data communication between frontend and backend.
• Develop real-time features such as live data streaming, messaging, and event-driven architectures using WebSockets/Socket.IO.
• Optimize database queries and data handling for structured (PostgreSQL) and unstructured (MongoDB) data.
• Implement authentication and access control mechanisms using OAuth 2.0 and JWT for secure application access.
• Integrate third-party services and APIs, ensuring seamless communication across different platforms.
• Deploy and manage applications on cloud environments such as AWS (EC2, S3, Lambda, RDS) for high availability and scalability.
• Utilize Docker & Kubernetes for containerized deployments and microservices orchestration.
• Implement CI/CD pipelines using GitLab CI/CD to automate builds, testing, and deployments.
• Ensure system performance, reliability, and scalability through monitoring tools such as AWS CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana).
• Work in an Agile/Scrum environment, collaborating closely with designers, DevOps engineers, and product managers.

Requirements

Technical Skills:

Frontend Development:

• Expertise in React.js for developing interactive and scalable UIs.
• Strong knowledge of Redux Toolkit for efficient state management.
• Experience with Tailwind CSS for responsive and modern UI design.
• Proficiency in OAuth 2.0 authentication for third-party logins (e.g., Google Sign-In).
• Experience in real-time application development using WebSockets/Socket.IO.

Backend Development:

• Strong hands-on experience with FastAPI (Python) for high-performance, asynchronous backend development.
• Experience in JWT-based authentication and role-based access control.
• Expertise in building and integrating RESTful APIs.

Database & Optimization:

• Proficiency in PostgreSQL for relational data management and query optimization.
• Experience with Elasticsearch for full-text search and data indexing.
• Knowledge of MongoDB for handling unstructured data storage.
• Experience with Redis caching for optimized query performance and session management.

Cloud & DevOps:

• Hands-on experience with AWS services (EC2, S3, Lambda, RDS) for cloud deployment and scaling.
• Experience with Docker & Kubernetes for containerized application management.
• Strong knowledge of GitLab CI/CD for automating deployment pipelines.
• Experience with RabbitMQ/Kafka for managing asynchronous job queues.
• Familiarity with AWS CloudWatch and ELK Stack for system monitoring and troubleshooting.
• Understanding of security best practices, including AWS KMS for encryption management.

Soft Skills & Work Approach:

• Strong problem-solving skills and a proactive approach to debugging and optimization.
• Ability to collaborate effectively with cross-functional teams (AI engineers, DevOps, product managers).
• Experience working in an Agile/Scrum environment, following best development practices.
• Willingness to learn and adapt to evolving AI-driven automation technologies.

Job Types: Full-time, Permanent

Pay: ₹359,854.04 - ₹1,553,198.28 per year

Benefits:

• Paid sick time

Location Type:

• Remote

Schedule:

• Day shift
• Fixed shift
• Monday to Friday
• Night shift

Work Location: In person

Speak with the employer
+91 7502950695