Python Fullstack Developer

Golden Opportunities; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Golden Opportunities is seeking a senior full-stack engineer to lead backend development in Python and frontend work in Angular. The role involves designing scalable RESTful APIs, optimizing PostgreSQL, and deploying to Google Cloud Run and GKE for robust performance.

The ideal candidate has 14+ years of experience, deep DevOps skills, and expertise with LLMs/RAG, LangChain, and IaC tools like Terraform/Pulumi. This is an office-based position in India.

Qualifications

• Backend & Frontend Development using Python and Angular.
• Expert PostgreSQL database design and optimization.
• Experience deploying to GCP with Cloud Run and GKE.
• CI/CD automation using GitHub workflows or GCP DevOps tools.
• Knowledge of IAM, VPCs, Cloud SQL, IaC principles.
• Experience with LLMs, RAG, LangChain/LlamaIndex.

Responsibilities

• Design, develop, and maintain backend services in Python and frontend in Angular.
• Package and deploy to GCP Cloud Run and GKE for high availability.
• Write SQL, manage migrations, optimize PostgreSQL.
• Build automated CI/CD pipelines.
• Follow security best practices throughout the lifecycle.
• Collaborate with cross-geography teams; integrate LLMs/RAG.
• Familiarity with Wasm or edge computing.
• Use Terraform or Pulumi for IaC.
• Monitor observability with OpenTelemetry, Datadog, Grafana.

Skills

Python (FastAPI/Django)

Angular

PostgreSQL

GCP

Docker

Kubernetes

CI/CD

GenAI

LLMs

RAG

LangChain

LlamaIndex

Education

Bachelor's degree

Tools

Terraform

Pulumi

OpenTelemetry

Datadog

Grafana

Job description

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).