Staff Software Engineer

Vaga não está no LinkedIn

🕒 Julho 21

🦀 Maryland – Remoto

🦀 Maryland – Remote

💵 $140.000 - $180.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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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

• Build and ship end-to-end product experiences across modern web applications, owning delivery from early concept through production release and iteration. • Rapidly prototype new concepts, validate feasibility and user value, and graduate successful prototypes into secure, scalable, maintainable production services for the first set of customers. • Design and manage AI-powered capabilities across retrieval, context shaping, and personalization (RAG, context engineering, collaborative filtering, content-based filtering, etc.), balancing quality, safety, privacy, and latency. • Build or leverage API-first, versioned REST microservices that expose domain capabilities in a consistent, reliable way across experiences. • Apply AI agents and modern developer tooling to speed up development workflows, including scaffolding, code generation, evaluation, debugging, and test automation. • Establish engineering clarity and alignment through strong technical communication and documentation (e.g., architecture briefs, API specs, runbooks, decision records). • Champion pragmatic software quality practices: code reviews, automated testing, CI/CD, observability, performance tuning, and cloud cost-aware design. • Partner closely with Product, Design, Research, Data Science, and customer-facing teams to translate needs into working software that meets business outcomes. • Ensure regulatory, compliance, security, and privacy expectations are met throughout development and release. • Independently create a test strategy (unit/integration/e2e) aligned to risk, including security testing. • Write architecture briefs and proposals (lightweight but clear), run experiments, and document tradeoffs. • Integrate telemetry for performance, reliability, availability, and usage insights. • Perform other duties as assigned.

🎯 Requisitos

• 5-8 years of professional software engineering experience, with substantial ownership of full-stack web applications shipped to production. • Strong front-end engineering skills with modern JavaScript frameworks (React/Next.js preferred), UI frameworks (Tailwind, MUI, etc.), accessibility (WCAG 2.2), and scalable design systems. • Strong backend engineering skills building APIs and services, including REST API design, authentication/authorization, and versioning strategies spanning service frameworks (.NET, Node.js, Python), API styles (REST/GraphQL), and supporting systems (DynamoDB/SQL/MongoDB, Redis, SQS/SNS, Kafka). • Hands-on expertise bootstrapping AWS, including designing, deploying, and operating production workloads (serverless and/or container-based), plus monitoring and cost controls. • Experience designing or working within microservices and API-first architectures, including service boundaries, contracts, and integration patterns. • Hands-on experience building, deploying, and operating services using containers (Docker) and orchestration platforms (Kubernetes or a managed equivalent), supported by CI/CD pipelines (e.g., GitHub Actions, Jenkins, or similar tooling). • Applied experience building AI-enabled product features, including RAG or retrieval-based grounding approaches, with a mindset toward evaluation and quality measurement. • Strong software engineering fundamentals: testing strategy, code quality, system design, observability, reliability, and incident-minded thinking. • Strong problem-solving skills, including the ability to navigate complexity, assess tradeoffs, and execute with confidence in ambiguous environments. • Ability to collaborate across a large organization without direct authority, aligning stakeholders through clear communication and pragmatic technical leadership. • Practical experience applying AI-assisted development workflows, including agents/subagents and tools like Claude Code, Devin, Ralph, and Builder.io, to rapidly build, test, and refine product features. • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.