_Core Responsibilities Lead system architecture and design for large-scale, distributed applications Define and enforce engineering best practices, coding standards, and design patterns Drive adoption of AI capabilities into products and workflows Architect and manage cloud-native solutions on Microsoft Azure Mentor senior and mid-level engineers Collaborate with product, data, and business teams for strategic initiatives Ensure system performance, scalability, security, and reliability Evaluate and integrate new technologies (AI tools, frameworks, cloud services) 1. Software Engineering Expertise 10+ years of experience in software development Strong proficiency in languages like .net, C#, Angular (Good to have) etc., Strong Object Oriented Programming Deep understanding of: Data structures & algorithms Microservices architecture RESTful APIs and event-driven systems Experience with DevOps practices (CI/CD, containerization, automation) 2. AI Skills Hands-on experience with: Github Copilot BMAD Method Framework (Good to have) Experience integrating AI into development Familiarity with Generative AI (LLMs, prompt engineering, Agent, RAG, MCP etc.,) Ability to evaluate AI models for performance, bias, and scalability Experience with AI APIs and tools (e.g., OpenAI, Azure AI services) 3. Azure Cloud Expertise Strong experience with Microsoft Azure, including: Azure Kubernetes Service (AKS) Azure Functions / App Services Azure Service Bus Azure Storage (Blob, Cosmos DB, SQL Database) Designing cloud-native and hybrid architectures Expertise in: Infrastructure as Code (ARM templates, Terraform, Bicep) Monitoring (Azure Monitor, Application Insights) Security & identity (Azure AD, RBAC) 4. System Design & Architecture Ability to design highly scalable, fault-tolerant systems Experience with distributed systems and high-availability architectures 5. Leadership & Strategy Proven ability to lead technical strategy across teams Strong decision-making and problem-solving skills Experience influencing stakeholders and aligning engineering with business goals Ability to drive innovation using AI and cloud technologies