Python Fullstack Developer

Work Mode: Work From Office

Candidate Specification: Any Graduate with 14+ Years Experience

Candidate Location: Anywhere in India

Skills: Python (FastAPI/Django), Angular, PostgreSQL ,GCP (Cloud Run, GKE), Docker, Kubernetes, CI/CD,GenAI, LLMs, RAG, LangChain/LlamaIndex.

Candidate Industry: IT / ITES

Education and Certification: Any Bachelor s degree

Job Description Technical Skills & Competencies

• Backend & Frontend Development
• Backend Mastery: Deep hands-on experience building scalable, high-performance web applications and RESTful APIs using Python frameworks, specifically FastAPI or Django.
• Frontend Expertise: Strong proficiency in modern Angular (TypeScript) for building clean, modular, and responsive user interfaces.
• Database Management: Expert knowledge of relational database design, optimization, and management using PostgreSQL.
• Cloud Development & Deployment (GCP)
• Containerization & Orchestration: Strong experience deploying application workloads using Google Cloud Run for serverless execution and Google Kubernetes Engine (GKE) for container orchestration (kubectl).
• CI/CD Automation: Proven track record of setting up automated continuous integration and continuous deployment pipelines (CI/CD) using Github, native GCP DevOps tools, or shell scripting.
• Infrastructure & Security: Good understanding of core GCP infrastructure tools, including Cloud SQL, VPC configurations, Cloud IAM for access control, and Infrastructure as Code (IaC) principles.
• Observability: Experience monitoring application health and setting up logging/alerts in a distributed environment (Cloud Logging/Cloud Monitoring).

Responsibilities

• Full-Stack Delivery: Design, develop, and maintain high-quality backend services in Python and frontend applications in Angular.
• Cloud Architecture & Migration: Package, containerize, and deploy applications efficiently to GCP using Cloud Run and GKE, ensuring high availability and optimal performance.
• Database Design: Write clean, efficient SQL queries, manage database migrations, and optimize PostgreSQL performance.
• DevOps & Automation: Build and maintain automated CI/CD pipelines to ensure seamless, secure, and repeatable code deployments.
• Security Best Practices: Implement industry-standard security practices (such as IAM roles and secure API gateways) throughout the application lifecycle.
• Collaboration: Align application designs with Google best practices, collaborating with cross-functional and cross-geography teams to deliver clean solutions.
• Experience integrating Large Language Models (LLMs), RAG architectures, or frameworks like LangChain/LlamaIndex.
• Familiarity with WebAssembly (Wasm) or edge computing.
• Experience with infrastructure as code (Terraform, Pulumi).Background in system observability (OpenTelemetry, Datadog, Grafana).