Staff Software Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pearson VUE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Embed directly with strategic internal lines of business to drive AI adoption • Understand stakeholder pain points, workflows, data, and existing technical architecture • Design and build end-to-end systems for internal stakeholders • Conduct user discovery by observing workflows, asking questions, and translating needs into buildable solutions • Build working software rapidly during stakeholder conversations • Process messy inputs such as spreadsheets, PDFs, screenshots, recorded calls, documents, and emails • Build and ship production AI applications using LLMs, agents, MCP servers, evaluation harnesses, retrieval systems, and custom skills • Iterate rapidly across multiple engagements as requirements change • Own the full stack, including frontend, backend, data, integrations, deployment, URLs, and observability • Codify reusable patterns and contribute them to platform and engineering teams • Maintain stakeholder relationships throughout the engagement lifecycle, identify opportunities, and harden production solutions

🎯 Requirements

• 8+ years of full-stack engineering experience shipping production systems end to end • Strong computer science fundamentals: data structures, algorithms, and system design • Frontend depth with modern React, TypeScript, component architecture, and state management • Backend experience with Node.JS, Java, and Python, including API design, data modeling, authentication, and error handling • Production LLM experience, including prompt engineering, agent development, evaluation frameworks, retrieval, and deployment at scale • Experience shipping at least one real LLM-backed application used by others • Fluency with AI-assisted development tools and agentic coding • Data fluency, including databases and Python data tooling • Cloud and deployment experience with AWS, GCP, or Azure; CI/CD, containers, and observability • Integration experience with SSO, OAuth, third-party APIs, internal platforms, and legacy databases • Ability to navigate ambiguity autonomously and collaborate across teams • Bachelor's degree in Computer Science or equivalent combination of education, training, and professional experience