Principal Software Engineer

🕒 March 31

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Harris Computer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1976

Harris provides mission-critical software solutions for the Public Sector, Healthcare, Utilities, and Private Sector verticals throughout North America, Europe, Asia, and Australia.

📋 Description

• 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 on strategic initiatives • Ensure system performance, scalability, security, and reliability • Evaluate and integrate new technologies, including AI tools, frameworks, and cloud services

🎯 Requirements

• 10+ years of experience in software development • Strong proficiency in .NET and C#; Angular is good to have • Strong object-oriented programming skills • Deep understanding of data structures and algorithms • Deep understanding of microservices architecture • Deep understanding of RESTful APIs and event-driven systems • Experience with DevOps practices, including CI/CD, containerization, and automation • Hands-on experience with GitHub Copilot • BMAD Method Framework is good to have • Experience integrating AI into development • Familiarity with Generative AI, including LLMs, prompt engineering, agents, RAG, and MCP • Ability to evaluate AI models for performance, bias, and scalability • Experience with AI APIs and tools, such as OpenAI and Azure AI services • Strong experience with Microsoft Azure, including AKS, Azure Functions/App Services, Azure Service Bus, Azure Storage, Blob, Cosmos DB, and SQL Database • Experience designing cloud-native and hybrid architectures • Expertise with Infrastructure as Code, including ARM templates, Terraform, and Bicep • Expertise with monitoring tools, including Azure Monitor and Application Insights • Expertise with security and identity, including Azure AD and RBAC • Ability to design highly scalable, fault-tolerant systems • Experience with distributed systems and high-availability architectures • 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