Full Stack Engineer - React.js/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.

- 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 quickly.