Principal Software Engineer

🕒 Março 31

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 41%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Harris Computer

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1976

A Harris oferece soluções de software de missão crítica para os setores público, de saúde, de utilities e privado em toda a América do Norte, Europa, Ásia e Austrália.

Descrição

• 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

🎯 Requisitos

• 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