Software Architect

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of JSI

JSI

201 - 500 funcionários

Fundada em 1962

📡 Telecomunicações

💼 Consultoria

🔒 Cibersegurança

💰 Private Equity Round em 2018-10

Telecommunications • Consulting • Cybersecurity

A JSI é líder em consultoria e soluções de banda larga, oferecendo aos provedores de comunicações uma gama completa de serviços financeiros, de engenharia, regulatórios, operacionais e estratégicos para ajudá-los a alcançar o sucesso em todas as fases de seus negócios. Desde 1962, a JSI tem se associado a centenas de empresas de telecomunicações de propriedade independente em todo os Estados Unidos, fornecendo as ferramentas e orientações essenciais necessárias para melhorar e expandir seus serviços de banda larga.

Descrição

• Design and develop full-stack applications, AI-enabled tools, SaaS products, APIs, and supporting services. • Establish JSI's software architecture and development framework for rapidly moving ideas from prototype to MVP to production. • Serve as a hands-on architect, writing production code while providing technical direction and architectural leadership. • Develop reusable application templates, components, libraries, APIs, AI services, and development tools. • Establish standards and best practices for AI-assisted software development using modern AI coding tools and agents. • Build and maintain development guardrails for safely using AI-generated code in production. • Establish architecture, coding, testing, documentation, code-review, security, and deployment standards. • Develop and maintain source-control standards, automated testing, CI/CD pipelines, dependency management, and release processes. • Architect and develop AI applications using LLMs, RAG, agents, MCP/tool integration, vector search, and external APIs. • Design secure application architectures covering authentication, authorization, secrets management, data protection, API security, and customer data isolation. • Establish scalable SaaS patterns, including multi-tenant architecture and enterprise-system integration. • Architect solutions incorporating geospatial/GIS systems where relevant to telecom and broadband engineering work. • Evaluate new AI models, development tools, frameworks, cloud services, and technologies. • Review internally and externally developed software for architecture, security, maintainability, performance, and production readiness. • Collaborate with the CTO, product owners, subject-matter experts, and business leaders to translate business problems into working software. • Provide technical leadership and architectural oversight to internal developers and outside technology and development partners. • Create a repeatable development environment enabling rapid MVP development and eventual production deployment.

🎯 Requisitos

• Demonstrated full-stack software development experience architecting and developing production applications across front-end, back-end, database, API, cloud, security, and deployment layers. • Strong hands-on software development skills, including significant experience with Python and modern web application technologies. • Experience with React, Next.js, JavaScript, and/or TypeScript. • Experience designing and developing APIs, backend services, and integrations. • Strong experience with relational databases and modern application data architectures. • Experience designing and deploying applications in Azure, AWS, or comparable cloud environments. • Working knowledge of Git/GitHub, CI/CD, automated testing, containers, deployment, monitoring, and modern DevOps practices. • Strong understanding of application security, authentication, authorization, API security, secrets management, and secure software-development practices. • Experience designing scalable, reliable, maintainable production software. • Ability to make sound architectural decisions while supporting rapid MVP development. • Practical experience with generative AI technologies, including several of: LLM APIs, RAG, AI agents and tool calling, embeddings and vector databases, MCP, prompt and context engineering, AI application evaluation and testing, AI security and data protection, and AI-assisted software development and coding agents. • Experience using AI coding tools to accelerate professional software development while maintaining architecture, security, testing, documentation, and code-review standards is strongly preferred.

🏖️ Benefícios

• Competitive salary + performance-based bonuses. • Comprehensive benefits package (medical, dental, vision, 401(k)). • Generous PTO and wellness opportunities. • Ongoing professional development and educational opportunities.

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