Software Engineer – Technology

🕒 5 dias atrás

🔔 Pennsylvania – Remoto

infoinfo

💵 $108.000 - $115.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Law School Admission Council (LSAC), não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 5 dias atrás

Ainda aberta no site da Law School Admission Council (LSAC). Verificada 1 hora atrás.

Logo of Law School Admission Council (LSAC)

Law School Admission Council (LSAC)

201 - 500 funcionários

Fundada em 1947

📚 Educação

🤝 Sem Fins Lucrativos

👥 B2C

Education • Non-profit • B2C

O Law School Admission Council (LSAC) é uma organização dedicada a facilitar o processo de admissão em faculdades de direito. Oferece recursos para aspirantes a estudantes de direito, incluindo informações sobre programas de direito, preparação para o LSAT e orientações para se candidatar às faculdades de direito. O LSAC também apoia a educação jurídica por meio de pesquisas, iniciativas de diversidade e diversos fóruns para candidatos e instituições de faculdades de direito.

Descrição

• Collaborate with internal partners to design, configure, maintain, and promote internal and external applications while ensuring accessibility compliance • Monitor, test, and optimize software for reliability and architectural standards • Contribute to continuous code delivery using deployment tools and automated testing • Scale and maintain applications for dynamic teams in a fast-paced environment • Collaborate with software engineers, product managers, analysts, and stakeholders to deliver customer-focused solutions • Use GitHub Copilot and other AI-assisted development tools for coding, testing, and debugging while following prompting and code-review standards • Design and develop Generative AI features such as chat interfaces, document summarization, intelligent search, and automated content generation using Azure OpenAI Service and related APIs • Build and integrate RAG pipelines with vector databases such as Azure AI Search, Pinecone, and pgvector • Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review • Perform operational maintenance, troubleshooting, and support of backend systems • Work as part of an autonomous agile team

🎯 Requisitos

• Bachelor’s degree in a relevant field such as computer science, engineering, or similar, or a minimum of 5 years of experience • Experience with object-oriented languages • Experience with web and cross-platform technologies • Hands-on experience with Git and code management methodologies • Experience with continuous delivery and automated testing • Experience with relational and unstructured data repositories • Experience with Scrum, Kanban, Lean, or other agile methodologies • Experience with React • Experience with MS VB and C# .NET frameworks, including Web Forms and Windows Forms, .NET Web API, Entity Framework 6.4, MVC Pattern, and SPA Framework • Experience with JavaScript and React JS • Experience with Microsoft SQL Server and Oracle stored procedures/scripts • Experience with 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 Azure DevOps CI/CD • Working knowledge of GitHub Copilot or comparable AI coding assistants, including effective prompting and reviewing AI-generated code for quality and security • Familiarity with Generative AI/LLM concepts, Azure OpenAI Service, prompt engineering, RAG, and vector databases • Awareness of Responsible AI principles, including bias, PII handling, and content safety • Excellent written and verbal communication skills and experience with MS Teams • Ability to work effectively on a cross-disciplinary team • Ability to ensure confidentiality of products and data • Preferred: Dapper, RESTful API/Web API, WCAG 2.1, ARIA, Power BI, Selenium or comparable testing frameworks • Preferred Azure AI certification or equivalent demonstrated proficiency • Preferred coursework, certifications, or project experience in machine learning, NLP, or applied AI/ML • Ability to work weekends may be necessary

🏖️ Benefícios

• Remote work arrangements will be considered • No travel expected • Equal Opportunity Employer • At-will employment

Candidatar-se

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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