
51 - 200 funcionários
Fundada em 2017
🏠 Imobiliário
🏪 Marketplace
👥 B2C
Real Estate • Marketplace • B2C
Clever Real Estate é uma plataforma imobiliária voltada ao consumidor que conecta vendedores e compradores de imóveis a corretores locais com as melhores avaliações e negocia comissões de listagem reduzidas e reembolsos (cashback) para compradores. A empresa oferece um serviço de concierge de matching, uma rede nacional de corretores, recomendações orientadas por dados e ferramentas como ofertas de cashback, opções de anúncio no MLS (Multiple Listing Service) e recursos educacionais para ajudar os usuários a economizar em taxas e simplificar as transações. A Clever opera nos 50 estados dos EUA e faz parceria com grandes corretoras para oferecer representação completa de corretores com desconto e serviços imobiliários relacionados.
🕒 Agosto 13
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $180.000 - $250.000 / ano
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
👻 Score fantasma 7%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2017
🏠 Imobiliário
🏪 Marketplace
👥 B2C
Real Estate • Marketplace • B2C
Clever Real Estate é uma plataforma imobiliária voltada ao consumidor que conecta vendedores e compradores de imóveis a corretores locais com as melhores avaliações e negocia comissões de listagem reduzidas e reembolsos (cashback) para compradores. A empresa oferece um serviço de concierge de matching, uma rede nacional de corretores, recomendações orientadas por dados e ferramentas como ofertas de cashback, opções de anúncio no MLS (Multiple Listing Service) e recursos educacionais para ajudar os usuários a economizar em taxas e simplificar as transações. A Clever opera nos 50 estados dos EUA e faz parceria com grandes corretoras para oferecer representação completa de corretores com desconto e serviços imobiliários relacionados.
• Own full-stack product and operational initiatives from problem framing through implementation, launch, and production validation • Turn ambiguous requirements into practical plans, milestones, and shippable increments • Build and maintain reliable applications using Django and TypeScript • Make decisions about architecture, data models, APIs, integrations, testing, security, and production operations • Use AI tools throughout investigation, development, testing, debugging, and review • Rigorously validate AI-assisted work and apply direct engineering judgment when required • Work with Product, Design, Operations, and other stakeholders to define problems and successful outcomes • Communicate progress, decisions, risks, and blockers proactively • Diagnose production issues, restore service responsibly, and drive follow-up improvements • Improve systems, tooling, and engineering practices for the broader team
• 5+ years of professional software engineering experience • Strong backend development experience with Python and Django • Experience building user-facing applications with React and TypeScript • Demonstrated ownership of meaningful production outcomes • Experience designing and integrating APIs, relational data models, and third-party services • Strong understanding of automated testing, security, data integrity, failure handling, and maintainable software design • Experience diagnosing production behavior using logs, metrics, traces, profiling, and other operational evidence • Meaningful experience using AI tools in a professional engineering workflow • Ability to explain technical decisions, tradeoffs, and measurable results • Strong written and verbal communication skills in a remote, cross-functional environment • Experience in lean product organizations and with business or operational stakeholders • Experience with marketplaces, matching, routing, lead management, workflow automation, or multi-sided products • Experience building integration-heavy systems involving CRMs, communications platforms, webhooks, asynchronous jobs, or third-party APIs • Experience with PostgreSQL and background-processing systems such as Celery • Experience delivering complete features across backend and frontend systems • Experience with production incidents, migrations, concurrency, data-quality problems, or other high-consequence workflows • Experience turning successful AI workflows into reusable automation, tooling, or team practices
• $180,000-$250,000 total compensation package • Medical, dental, vision, and life insurance • 18 days of PTO, increasing with tenure • 10 paid holidays • Annual budget for learning and career growth • Paid sabbaticals to celebrate major milestones • Exclusive access to Clever homeownership perks • Work-from-home stipend for a remote workspace • 401(k) retirement plan administered through Guideline • 6–12 weeks of paid parental leave • Free counseling sessions • Optional weekly meditation
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