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YASH Technologies is hiring a Sr. Software Engineer - Python in Pune. The role centers on API development with a strong emphasis on AWS cloud environments, Flask-based RESTful APIs, and scalable backend logic.
You will design, build and maintain applications, integrating front-end elements with server-side logic and AWS services. The ideal candidate has deep Python backend experience, Flask proficiency, and familiarity with AWS Lambdas, API Gateway, S3 and DynamoDB/RDS.
Date: Nov 6, 2026
Job Requisition Id: 66264
Location: Pune, IN
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
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.
Must have skills: Python, AWS - Lambda, ECS, OpenSearch, API - RESTfull, Graphql
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.
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.