_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
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