Senior Backend Engineer – Go, AWS

🕒 Agosto 24

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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Urrly

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

Urrly é uma agência de recrutamento em saúde que combina a expertise de recrutadores do setor, cientistas de dados e agentes de IA para ajudar inovadores em saúde a garantir talentos excepcionais com rapidez e a custos acessíveis. Especializada em Recruitment-as-a-Service (RaaS) e Recruitment Process Outsourcing (RPO), a Urrly otimiza a contratação para empresas de saúde nos EUA, reduzindo significativamente os indicadores de time-to-fill e cost-per-hire. A empresa utiliza tecnologia de IA para automatizar tarefas administrativas e conectar clientes a candidatos de alto nível, oferecendo uma alternativa econômica às agências de recrutamento tradicionais. Os serviços da Urrly atendem organizações de saúde visionárias que buscam aprimorar seus processos de aquisição de talentos.

Descrição

• Design, build, and ship Go-based backend services for consumer-facing and enterprise-facing product surfaces • Develop and maintain REST and gRPC APIs, async workers, SDK auth flows, and service integrations • Translate product and platform needs into simple, reliable, testable backend implementations • Work within and improve AWS infrastructure, including ASGs, Aurora, ElastiCache, SQS, S3, and CloudWatch • Contribute to CI/CD pipelines, zero-downtime deployment patterns, autoscaling systems, and operational reliability • Build and harden authentication and authorization systems, including JWTs, OAuth flows, sessions, and API key management • Implement rate limiting, audit logging, access control, and secure client-facing data access • Contribute to SOC 2 and HIPAA-related compliance practices • Extend and maintain developer-facing APIs, SDK backend systems, enterprise integrations, and API key workflows • Work across relational and NoSQL databases, data export pipelines, ingestion flows, and structured logging • Debug performance and reliability issues across distributed components • Improve observability, trace failures, and resolve issues quickly • Build organization lifecycle management, user provisioning, activation, onboarding, and adherence reporting capabilities • Support multi-organization hierarchy management and enterprise administration workflows • Independently deliver scoped API, infrastructure, authentication, data pipeline, and reliability improvements from definition through deployment

🎯 Requisitos

• Strong, production-tested Go engineering experience • Experience building and operating backend services, APIs, and data systems in AWS • Understanding of distributed systems across services, queues, databases, storage, and client-facing APIs • Comfort with relational and NoSQL databases, messaging or event systems, and infrastructure-as-code workflows • Authentication and authorization fundamentals, including token lifecycle, session management, OAuth, and API key management • Ability to own scoped backend work from definition through deployment without close management • Clear communication of tradeoffs, progress, and blockers • Comfort working in a lean startup environment with shifting priorities • Effective use of AI-assisted coding workflows, including multiple coding agents or model-assisted tasks • Willingness to complete a live coding assessment • Nice-to-have: experience in health tech, wearables, biometric data, IoT, or device-connected software • Nice-to-have: HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience • Nice-to-have: high-throughput data upload, ingestion, transformation, or export systems • Nice-to-have: developer platforms, SDKs, external APIs, enterprise integrations, or API management • Nice-to-have: AI/ML platform infrastructure, MCP servers, or model-facing backend systems • Nice-to-have: mobile-connected systems involving iOS, Android, firmware, or device data flows

🏖️ Benefícios

• Fully remote, distributed U.S. team • Hands-on individual contributor path • AI-assisted engineering workflows, including tools such as Claude or Cursor • $150,000–$170,000 base salary • Compensation dependent on experience, skill level, and assessment performance