Azure Cloud Architect / Engineer

Turnkey Learning; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Turnkey Learning in Hyderabad, India seeks an experienced Azure Cloud Architect/Engineer to lead the design and delivery of Azure-based full-stack solutions. The role requires deep cloud-native expertise, strong collaboration with product and data teams, and hands-on implementation across databases, APIs, and AI integrations.

You will guide a small development team, translate business requirements into scalable architectures, and ensure security and cost-efficiency while leveraging OpenAI APIs

Qualifications

• 10+ years of experience in cloud solution architecture with deep expertise in Microsoft Azure.
• Hands-on experience with Databricks, data processing pipelines, and cloud-native databases.
• Experience designing and deploying scalable full-stack applications.
• Proficiency in Git-based CI/CD pipelines and infrastructure as code.
• Familiarity with integrating OpenAI APIs, chatbot development, and agentic AI architectures.
• Proven leadership of small teams and end-to-end project delivery.
• Excellent communication, documentation, and stakeholder management.
• Preferred exposure to other modern LLM and agentic frameworks and observability tools in Azure.

Responsibilities

• Architect and build end-to-end Azure-based applications using App Services, Functions, containers, and PostgreSQL/MySQL/MSSQL.
• Implement secure, scalable REST APIs and serverless functions.
• Develop full-stack apps with React on frontend and Python/Node.js/.NET on backend.
• Integrate OpenAI models, AI chatbots, and multi-agent frameworks.
• Translate product requirements into architecture and implementation plans.
• Ensure performance, security, and cost-efficiency of cloud solutions.
• Collaborate with product, data, and infrastructure teams.
• Lead and mentor a small development team through design, development, deployment, and delivery.

Skills

Azure cloud architecture

Databricks

PostgreSQL

CI/CD pipelines

Infrastructure as Code

OpenAI APIs

Chatbot development

Agentic AI architectures

Team leadership

REST APIs

Tools

Docker

React.js

Python

Node.js

.NET

Azure Functions

Job description

We are seeking an experienced Azure Cloud Architect/Engineer with deep expertise in Azure-based full-stack development. The ideal candidate will have a strong grasp of modern cloud-native architectures and hands‑on experience with a range of Azure services, full-stack frameworks, and AI-based systems. This role involves not only technical leadership but also the ability to translate business requirements into scalable, secure, and high‑performance cloud solutions.

Qualifications

10+ years of experience in cloud solution architecture with deep expertise in Microsoft Azure.

Strong hands‑on experience with:

Databricks and data processing pipelines

PostgreSQL and cloud‑native databases

Experience in designing and deploying scalable and secure full‑stack applications.

Proficient in Git‑based CI/CD pipelines and infrastructure as code

Familiarity with integrating OpenAI APIs, chatbot development, and agentic AI architectures is a plus.

Proven experience in leading small teams and owning project delivery from start to finish.

Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications:

Exposure to other modern LLM and Agentic frameworks and services.

Familiarity with observability tools and performance monitoring in Azure.

Responsibilities

Architect and build end‑to‑end Azure‑based applications leveraging services like App Services, Azure Functions, Docker Containers, and PostgreSQL/ MySql, MS SQL Server.

Implement secure, scalable REST APIs and serverless functions.

Build and manage full‑stack applications using React.js on the frontend and Python/Node.js/.NET on the backend (specify if needed).

Integrate OpenAI models, AI chatbots, and multi‑agent frameworks where applicable.

Translate product requirements into architecture and detailed implementation plans.

Ensure performance, security, and cost‑efficiency of cloud solutions.

Collaborate cross‑functionally with product, data, and infrastructure teams.

.Lead and mentor a small development team through design, development, deployment, and delivery.