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About the role
- Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field - Strong hands-on expertise in React, TypeScript, JavaScript, Node.js, Python, and modern web application frameworks. - Proven experience building, deploying, and supporting enterprise web applications, APIs, and microservices. - Deep knowledge of Azure cloud services including App Service, Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor. - Strong DevOps and CI/CD experience using GitHub Enterprise, GitHub Actions, Azure DevOps, and automated deployment pipelines. - Expertise in application architecture, software engineering best practices, and production support models. - Solid understanding of API design, service-to-service authentication, authorization, and API governance. - Hands-on experience with secure application development, threat modeling, secure SDLC, vulnerability management, and security engineering practices. - Experience implementing logging, monitoring, observability, incident management, and operational controls. Preferred Competencies - Experience building and operationalizing AI, GenAI, LLM, RAG, and agent-based applications. - Knowledge of AI application risks including prompt injection, hallucination management, model evaluation, and AI testing methodologies. - Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field - Strong hands-on expertise in React, TypeScript, JavaScript, Node.js, Python, and modern web application frameworks. - Proven experience building, deploying, and supporting enterprise web applications, APIs, and microservices. - Deep knowledge of Azure cloud services including App Service, Functions, Container Apps, API Management, Key Vault, Managed Identity, and Azure Monitor. - Strong DevOps and CI/CD experience using GitHub Enterprise, GitHub Actions, Azure DevOps, and automated deployment pipelines. - Expertise in application architecture, software engineering best practices, and production support models. - Solid understanding of API design, service-to-service authentication, authorization, and API governance. - Hands-on experience with secure application development, threat modeling, secure SDLC, vulnerability management, and security engineering practices. - Experience implementing logging, monitoring, observability, incident management, and operational controls. Preferred Competencies - Experience building and operationalizing AI, GenAI, LLM, RAG, and agent-based applications. - Knowledge of AI application risks including prompt injection, hallucination management, model evaluation, and AI testing methodologies.
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