_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

- Solid 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

📌 Principal Software Engineer (India)
🏢 Harris Computer Systems
📍 India