Founding – Software Engineers

🕒 Setembro 26

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 15%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Continuum Resource Network

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2018

🏭 Manufatura

💼 Consultoria

📦 Logística

Manufacturing • Consulting • Logistics

A Continuum Resource Network é uma empresa especializada em recrutamento que conecta candidatos talentosos com os principais empregadores, oferecendo soluções de recrutamento e serviços de colocação profissional. A empresa enfatiza o recrutamento centrado no ser humano, apoiado por inteligência artificial, ajudando os candidatos a encontrar oportunidades e ajudando os clientes a preencher cargos por meio de uma captação de talentos orientada por relacionamento.

Descrição

• Own products, features, or core systems from initial concept and architecture through production deployment. • Build across the stack, including backend services, APIs, data infrastructure, frontend/product surfaces, and cloud systems. • Develop AI-native products and workflows using LLMs, agents, tool integrations, retrieval systems, and modern AI development tools where relevant. • Make pragmatic architecture and product decisions in environments with limited process and incomplete requirements. • Work directly with founders, customers, and other stakeholders to identify problems and translate them into shipped software. • Build integrations with external APIs, business systems, data sources, and third-party platforms. • Establish engineering patterns, tooling, testing, observability, and best practices as teams scale. • Help shape engineering culture and, in some roles, mentor or lead engineers who join after you. • Work across opportunities at venture-backed AI and technology companies, from founding teams to rapidly scaling startups.

🎯 Requisitos

• Strong professional software engineering experience with evidence of shipping production systems. • Ability to move from an ambiguous problem to a working production solution without requiring a detailed specification. • Strong backend, full-stack, product engineering, or systems engineering fundamentals. • Experience with one or more modern production languages such as Python, TypeScript/JavaScript, Go, Java, or Rust. • Comfort working across multiple layers of a product rather than being limited to a very narrow specialty. • High agency, strong problem-solving ability, and comfort operating in fast-moving environments. • Track record of meaningful technical impact, rapid growth, entrepreneurial work, strong startup experience, or other clear signals of engineering excellence. • Clear communication and ability to explain technical decisions and tradeoffs. • Experience as a Founding Engineer, Early Engineer, Product Engineer, Full-Stack Engineer, Backend Engineer, or Staff/Senior Software Engineer is particularly relevant. • Experience at an early-stage or high-growth startup, or ability to operate effectively in a startup-style environment. • 0-to-1 product or platform development experience. • Production AI/LLM or agentic-system experience is particularly relevant. • Python and/or TypeScript/React experience is particularly relevant. • API integrations, distributed systems, data infrastructure, or developer tooling experience is particularly relevant. • Daily use of modern AI coding tools such as Claude Code, Cursor, Copilot, Codex, or similar tools is particularly relevant. • Entrepreneurial experience, meaningful side projects, open-source work, or previous founder experience is particularly relevant. • Specific in-office or hybrid expectations, seniority, compensation, equity, visa sponsorship, education preferences, and technical stacks vary by opportunity.