Principal SWE

\_**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