Python Full Stack Developer (FastAPI & Azure)

Job Title: Python Full Stack Developer (FastAPI & Azure)

Experience: 4-8 Years

Location: Pune

Job Overview

We are seeking a highly skilled Python Full Stack Developer with strong experience in FastAPI, REST APIs, Microservices, and Azure Cloud. The ideal candidate will be responsible for designing, developing, and deploying scalable cloud-native applications while collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python and FastAPI.
• Develop and consume RESTful APIs and build microservices-based applications.
• Deploy and manage applications on Microsoft Azure.
• Build and maintain containerized applications using Docker.
• Work with Kubernetes and Azure Kubernetes Service (AKS) for orchestration and deployment.
• Implement security best practices using OAuth2, JWT, API Gateway, and authentication/authorization frameworks.
• Design database schemas and optimize application performance.
• Monitor, troubleshoot, and resolve production issues using observability and monitoring tools.
• Participate in code reviews, CI/CD implementation, and Agile development processes.
• Collaborate with product owners, architects, and development teams to deliver enterprise-grade solutions.

Required Skills

• 4+ years of software development experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience building REST APIs and Microservices.
• Experience with Microsoft Azure cloud services.
• Hands-on experience with Docker, Kubernetes, and AKS.
• Knowledge of OAuth2, JWT, API Security, and API Gateway.
• Experience with SQL/NoSQL databases.
• Strong understanding of CI/CD pipelines and Git-based development.
• Excellent debugging, troubleshooting, and problem-solving skills.

Preferred Skills

• Experience with Temporal Workflow / Temporal Orchestration Framework.
• Exposure to Kafka, Event-Driven Architecture, and distributed systems.
• Experience with monitoring tools such as Grafana, Prometheus, ELK, Splunk, Datadog, or similar.
• Exposure to Generative AI, LLM integrations, LangChain, or RAG architectures.
• Knowledge of cloud-native design patterns and scalable application architecture.

Technical Environment

• Python, FastAPI
• Azure, AKS
• Docker, Kubernetes
• OAuth2, JWT, API Gateway
• PostgreSQL / MySQL / MongoDB
• Git, CI/CD
• Kafka (Preferred)
• Temporal (Preferred)