Staff Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 16 jours

🦀 Maryland – Distant

🦀 Maryland – Remote

💵 $140 000 - $180 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

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Pearson VUE

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1994

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Pearson VUE est un leader mondial des tests informatisés, offrant une vaste gamme d'examens de certification pour divers secteurs. Ils soutiennent les candidats et les propriétaires de tests en proposant des ressources, des options de programmation et des aménagements spéciaux pour assurer un accès équitable aux tests. Leur mission est de responsabiliser les candidats et d'enrichir les communautés à travers la réalisation d'examens critiques qui valident les compétences et les connaissances professionnelles, contribuant à l'avancement des carrières et aux normes de l'industrie.

Description

• 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.

🎯 Exigences

• 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.