Sr. Software Engineer - Python Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Python Professionals in the following areas :

Experience required-4 to 6

Job Description: Python API Developer (AWS)Role Overview: We are seeking a highly skilled Python Developer with a strong focus on API Development and AWS cloud environments.

In this role, candidate will be responsible for designing, building and maintaining applications.

Key Responsibilities:

API Development: Design and implement scalable, high-performance RESTful APIs using the Flask framework.

Cloud Infrastructure: Deploy and manage applications within AWS, ensuring high availability and security.

Backend Logic: Write clean, maintainable, and efficient Python code for core business logic.

Integration: Seamlessly integrate front-end elements with server-side logic and connect APIs with various AWS managed services.

Required Skills & Qualifications:

Expert Python Proficiency: Deep hands-on experience in Python backend development.

Web Frameworks: Advanced knowledge of Flask for building APIs (experience with FastAPI is a plus, but Flask is primary).

AWS Core Services: Proven experience working with AWS services such as Lambda, API Gateway, S3, EC2, and DynamoDB/RDS.

Database Knowledge: Strong understanding of SQL and NoSQL database design and integration.

Tooling: Familiarity with Git version control and CI/CD pipelines.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.