Principal Software Engineer

_ Core Responsibilities

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Lead system architecture and design for large-scale, distributed applications

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Define and enforce engineering best practices, coding standards, and design patterns

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Drive adoption of AI capabilities into products and workflows

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Architect and manage cloud-native solutions on Microsoft Azure

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Mentor senior and mid-level engineers

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Collaborate with product, data, and business teams for strategic initiatives

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Ensure system performance, scalability, security, and reliability

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Evaluate and integrate new technologies (AI tools, frameworks, cloud services)

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1. Software Engineering Expertise

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10+ years of experience in software development

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Strong proficiency in languages like .net, C#, Angular (Good to have) etc.,

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Strong Object Oriented Programming

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Deep understanding of:

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Data structures & algorithms

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Microservices architecture

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RESTful APIs and event-driven systems

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Experience with DevOps practices (CI/CD, containerization, automation)

2. AI Skills

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Hands-on experience with:

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Github Copilot

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BMAD Method Framework ( Good to have)

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Experience integrating AI into development

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Familiarity with Generative AI (LLMs, prompt engineering, Agent, RAG, MCP etc.,)

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Ability to evaluate AI models for performance, bias, and scalability

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Experience with AI APIs and tools (e.g., OpenAI, Azure AI services)

3. Azure Cloud Expertise

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Strong experience with Microsoft Azure , including:

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Azure Kubernetes Service (AKS)

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Azure Functions / App Services

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Azure Service Bus

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Azure Storage (Blob, Cosmos DB, SQL Database)

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Designing cloud-native and hybrid architectures

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Expertise in:

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Infrastructure as Code (ARM templates, Terraform, Bicep)

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Monitoring (Azure Monitor, Application Insights)

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Security & identity (Azure AD, RBAC)

4. System Design & Architecture

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Ability to design highly scalable, fault-tolerant systems

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Experience with distributed systems and high-availability architectures

5. Leadership & Strategy

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Proven ability to lead technical strategy across teams

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Strong decision-making and problem-solving skills

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Experience influencing stakeholders and aligning engineering with business goals

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Ability to drive innovation using AI and cloud technologies