Full Stack Engineer (React+Python)

We are seeking a highly skilled Full Stack Engineer with strong expertise in ReactJS, Python, and AWS

serverless services. The ideal candidate will have proven experience in building scalable applications,

designing robust CI/CD pipelines, and working with both relational and NoSQL databases. Knowledge of

AI/ML concepts is strongly preferred.

Key Responsibilities

Front-End Development:

• Build, optimize, and maintain user interfaces using ReactJS with best practices in performance and

usability.

• Ensure responsive design, cross-browser compatibility, and seamless integration with back-end

services.

Back-End Development:

• Develop RESTful and GraphQL APIs using Python frameworks (Flask, Django, or FastAPI).

• Integrate back-end systems with AWS services and databases for reliable performance.

Cloud & Serverless Architecture:

• Design and deploy solutions using AWS serverless services (Lambda, API Gateway, DynamoDB, S3,

etc.).

• Ensure applications are secure, cost-efficient, and scalable.

CI/CD & DevOps:

• Build and manage CI/CD pipelines between GitHub and AWS.

• Automate deployments, testing, and monitoring workflows.

Database Management:

• Design and manage relational schemas in Postgres.

• Work with NoSQL databases such as DynamoDB for high-performance use cases.

AI/ML Enablement:

• Collaborate with data scientists to integrate AI/ML features into products.

• Leverage vector databases, embeddings, and APIs for intelligent workflows.

Required Qualifications

• 6+ years of professional experience in software engineering.

• Expert-level knowledge and hands-on experience with ReactJS.

• Solid working experience with Python for back-end development.

• 2+ years of hands-on experience with AWS serverless architecture/services.

Full Stack Engineer (React, Python)

• Proven expertise in creating and managing CI/CD pipelines (GitHub + AWS).

• Strong knowledge of Postgres with ability to design and optimize schemas.

• Familiarity with NoSQL databases (especially DynamoDB).

• Exposure to AI/ML concepts with practical experience strongly preferred.

Preferred Skills

• Experience with containerization (Docker, Kubernetes).

• Familiarity with infrastructure as code tools (Terraform, CloudFormation).

• Understanding of security best practices in cloud-native applications.

• Strong problem-solving mindset and proactive approach to learning new technologies.

Soft Skills

• Excellent communication and collaboration abilities.

• Strong ownership, adaptability, and ability to work in fast-paced environments.

• Curiosity and proactive mindset to experiment and build prototypes quickl