Looking for a job

Deepak Nishad

@deepaknishad96

Senior Python Backend Engineer with 5+ years of experience building scalable APIs, microservices, cloud-based platforms, and GenAI-enabled backend sol

India

Message

What I'm looking for

I am looking for a permanent remote Senior Python Backend Engineer role where I can build scalable APIs, microservices, and cloud-based systems using Python, FastAPI, Django, Flask, PostgreSQL, AWS/Azure, and Docker. I’m also interested in GenAI/RAG and AI-agent backend projects, with a strong engineering team focused on reliable production systems.

I am a Python Backend Engineer with 5+ years of experience building scalable backend systems, REST APIs, and microservices using FastAPI, Django, Flask, and PostgreSQL. My work includes cloud deployment, CI/CD automation, database optimization, authentication, production support, and distributed backend services across AWS and Azure environments.

More recently, I have worked on GenAI-enabled backend platforms involving LLM API integration, OpenAI API, LangChain, prompt workflows, AI-agent services, and Retrieval-Augmented Generation (RAG).

I enjoy solving backend engineering problems around scalability, reliability, API design, performance, and system architecture. I’m currently looking for a permanent remote Senior Python Backend Engineer role where I can contribute to production-grade systems and continue growing in backend, cloud, and AI engineering.

Experience

Work history, roles, and key accomplishments

Current

Python Developer

Current

UST

Dec 2024 - Present (1 year 10 months)

Working as a Python Developer for Microsoft client projects, contributing to backend development, microservices architecture, Azure DevOps CI/CD implementation, cloud deployment, database optimization, and production support.

Python Django Flask fastAPI PostgreSQL Azure DevOps Docker Microservices REST APIs JWT RBAC

Associate Software Engineer

Lince Soft Solutions Private Limited

Aug 2021 - Dec 2024 (3 years 4 months)

Contributed to backend development, cloud automation, application deployment, and production support activities using Python, Django, Flask, PostgreSQL, AWS, Docker, Jenkins, and Git in an Agile development environment.