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Principal Software Engineer

🕒 May 23

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 34%

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Logo of Harris Computer

Harris Computer

10,000+ employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.

📋 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 • Lead technical strategy across teams • Influence stakeholders and align engineering with business goals • Drive innovation using AI and cloud technologies

🎯 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 • 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 • Experience with Azure Kubernetes Service (AKS), Azure Functions/App Services, Azure Service Bus, Azure Storage, Blob Storage, Cosmos DB, and SQL Database • Experience designing cloud-native and hybrid architectures • Expertise in Infrastructure as Code using ARM templates, Terraform, or Bicep • Expertise in monitoring with Azure Monitor and Application Insights • Expertise in security and identity using 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

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