About the Role :

We are seeking a highly skilled and versatile Senior Full Stack Cloud Developer with expertise in Java, Azure, and LLMs (Large Language Models), alongside experience in C#, C++, and modern full-stack development. In this role, you will architect and build next-generation cloud-native applications, integrating advanced AI models and delivering high-performance solutions across multiple platforms.

You will work closely with cross-functional teams to build scalable applications, intelligent systems, and cloud-first solutions that drive innovation across the organization.

Key Responsibilities :

- Design and develop full-stack applications using Java, C#, and modern JavaScript frameworks (React, Angular, or Vue).

- Build and deploy secure, scalable, and resilient services on Microsoft Azure, including Azure App Services, Functions, Logic Apps, and Azure DevOps.

- Integrate and fine-tune Large Language Models (LLMs) using APIs (e.g., OpenAI, Azure OpenAI) for intelligent features and automation.

- Develop and optimize performance-critical components in C++ where low-level efficiency is required.

- Create RESTful APIs, microservices, and serverless backends to support modern web and AI applications.

- Collaborate with data scientists, AI/ML engineers, and DevOps to bring intelligent cloud solutions to life.

- Implement and manage CI/CD pipelines, security best practices, and monitoring using Azure tools.

- Participate in architectural discussions and technical decision-making processes.

- Stay current with emerging technologies in cloud computing, AI/LLMs, and software development.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- 5+ years of experience in backend development with Java and C#.

- Solid experience in full stack development, including frontend (HTML, CSS, JS, React/Angular/Vue) and backend APIs.

- Hands-on experience with Microsoft Azure, including App Services, Functions, Azure DevOps, Azure Storage, and related services.

- Proficiency in C++ for high-performance or systems-level development.

- Practical experience working with or integrating LLMs (e.g., via OpenAI, Azure OpenAI, Hugging Face).

- Strong understanding of cloud security, scalability, and software architecture patterns.

- Experience with Git, CI/CD pipelines, and agile development methodologies.

Preferred Qualifications :

- Experience with containerization (Docker) and orchestration (Kubernetes or Azure Kubernetes Service).

- Knowledge of microservices, event-driven architecture, and serverless computing.

- Familiarity with AI/ML concepts and prompt engineering for LLMs.

- Certification in Microsoft Azure (e.g., Azure Developer Associate, Azure AI Engineer).

- Contributions to open-source projects or published research in AI/cloud domains.