Principal Software Engineer

Remote, USA
Posted Jun 12, 2026
Full-time

_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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