Staff Software Engineer

Vaga não está no LinkedIn

🕒 Junho 29

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 27%

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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Pearson VUE

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1994

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Pearson VUE é líder global em avaliações baseadas em computador, oferecendo uma ampla gama de exames de credenciamento e certificação para diversos setores. A empresa apoia candidatos e organizações proprietárias dos exames ao disponibilizar recursos, opções de agendamento e adaptações para garantir acesso equitativo às avaliações. Sua missão é potencializar candidatos e enriquecer comunidades por meio da aplicação de exames de alto impacto que validam competências e conhecimentos profissionais, contribuindo para o avanço na carreira e para a elevação dos padrões do setor.

Descrição

• Own the design and evolution of scalable, secure, and high-performing web application architectures • Lead complex feature delivery across systems, ensuring alignment with long-term platform strategy • Act as a technical advisor to engineering and product leadership on design trade-offs and implementation approaches • Drive engineering best practices across code quality, testing, observability, and system reliability • Champion AI-powered development by actively leveraging tools (e.g., Cursor, Claude Code, LLM platforms) to enhance productivity • Define standards and best practices for AI-assisted coding, test generation, and design-to-code workflows • Lead adoption of generative AI and LLM integrations into enterprise applications and engineering processes • Partner with teams to operationalize AI-driven workflows and improve development efficiency at scale • Design, develop, and maintain full-stack web applications with a focus on performance, usability, and reliability • Contribute high-quality, production-grade code across frontend, backend, and APIs • Drive adoption of modern engineering practices including microservices, cloud-native development, and CI/CD • Mentor senior and mid-level engineers, fostering technical growth and engineering rigor • Conduct in-depth code reviews, providing actionable and constructive feedback • Influence engineering culture by promoting collaboration, ownership, and continuous improvement • Lead by example in driving accountability, technical excellence, and innovation

🎯 Requisitos

• 10+ years of experience in software engineering with a strong focus on web and distributed systems • Demonstrated success in leading complex technical initiatives and delivering at scale • Proven track record mentoring engineers and elevating team performance • Experience driving adoption of new technologies and engineering transformations (preferably AI-driven) • Experience operating in iterative, product-driven environments • Advanced expertise in software design, system architecture, and distributed systems • Strong experience in API design and management (REST/gRPC, versioning, scalability) • Deep understanding of cloud platforms (Azure or AWS) and cloud-native application design • Solid foundation in application security, data protection, and secure coding practices • Strong problem-solving and debugging skills across large-scale systems • Hands-on experience integrating LLMs, generative AI, and AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock) • Experience applying AI across SDLC: code generation, testing, documentation, and workflow automation • Understanding of ML concepts and AI adoption strategies across engineering teams • Proven ability to influence without authority and drive alignment across teams • Strong communication skills, with the ability to translate complex technical concepts to diverse stakeholders • High adaptability in fast-moving, ambiguous environments • Commitment to ethical engineering practices and responsible AI use.

🏖️ Benefícios

• Remote