Lead Engineer

🕒 il y a 7 jours

🔔 Pennsylvania – Distant

🔔 Pennsylvania – Remote

💵 $125 000 - $133 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Law School Admission Council (LSAC)

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 1947

📚 Éducation

🤝 À but non lucratif

👥 B2C

Education • Non-profit • B2C

Le Law School Admission Council (LSAC) est une organisation dédiée à faciliter le processus d'admission aux écoles de droit. Elle fournit des ressources aux futurs étudiants en droit, y compris des informations sur les programmes de droit, la préparation au LSAT et des conseils sur les candidatures aux écoles de droit. Le LSAC soutient également l'éducation juridique par le biais de la recherche, d'initiatives de diversité et de divers forums pour les candidats aux écoles de droit et les institutions.

Description

• Design, configure, maintain, and promote internally and externally facing applications • Ensure application reliability and adherence to architectural standards • Support product teams and address technical dependencies across teams • Coach, inspire, mentor, and foster continuous learning among developers • Build and maintain scalable full-stack applications • Monitor, test, and optimize software • Collaborate with software engineers, the Software Development Manager, analysts, and stakeholders • Deliver functionality using continuous delivery and test-driven development • Produce high-quality code through code review and mentoring • Champion and govern team-wide GitHub Copilot use, including prompting standards, AI-generated code review, productivity metrics, and developer coaching • Build and execute a Generative AI enablement roadmap with workshops, lunch-and-learns, hands-on labs, and reference implementations • Coach engineers on AI-assisted coding, code review, test generation, debugging, documentation, and responsible AI use • Identify adoption blockers, measure AI maturity, gather feedback, and iterate enablement programs • Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs • Design and maintain RAG pipelines using vector databases and enterprise data sources • Lead prompt engineering using system prompts, few-shot examples, and chain-of-thought strategies • Establish responsible AI practices including bias evaluation, content filtering, PII redaction, audit logging, and data-governance compliance

🎯 Exigences

• 5–10 years of experience in full stack software engineering • B.A. or B.S. degree in Computer Science, Software Engineering, or related field • Strong knowledge of stored procedures, scripts, Cosmos DB, SQL, and Oracle • Experience with Web Services, React JS, MS VB, and C# .NET frameworks • Experience with object-oriented languages • Experience with Git, code management methods, CI/CD pipelines, and Azure DevOps • Familiarity with RESTful or web APIs • Familiarity with WCAG 2.1 and ARIA standards • Knowledge of Azure Functions, Azure Data Factory, Azure Storage Account, Azure Key Vault, Azure Cosmos DB, Service Bus, Azure App Service, Azure VMs, and Azure Table Storage • Experience with Scrum, Kanban, Lean, or other agile methodologies • Gen-AI change leadership required • AI coaching and mentoring experience required • Production-level GitHub Copilot proficiency in VS Code or JetBrains IDEs • Prompt engineering and evaluation experience • Understanding of responsible AI and AI governance • Master's degree preferred • Azure certifications preferred • Azure AI certifications or equivalent demonstrated proficiency preferred • Machine learning, natural language processing, or applied AI/ML coursework, certifications, or verifiable project experience preferred

🏖️ Avantages

• Remote work arrangement • Standard business hours Monday-Friday, 8:30 a.m.–4:45 p.m. ET • No travel expected • Equal Opportunity Employer • At-will employment

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