Principal Software Engineer

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🕒 Janeiro 22

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Demandbase

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2005

🤝 B2B

☁️ SaaS

🤖 Inteligência Artificial

B2B • SaaS • Artificial Intelligence

A Demandbase é uma plataforma de IA voltada para pipeline B2B que ajuda equipes de go-to-market (marketing, vendas, operações de receita e sucesso do cliente) a identificar, priorizar e engajar grupos de compra para acelerar o pipeline e a receita. A plataforma SaaS unifica dados de primeira, segunda e terceira partes, fornece detecção de intenção, identificação de contas e grupos de compra, personalização web, publicidade e orquestração em todo o stack tecnológico, oferecendo insights acionáveis impulsionados por IA para conduzir marketing e vendas baseados em contas em escala.

Descrição

• Lead technical direction and architecture across projects involving scalable microservices distributed systems and modern data platforms. • Lead architecture and implementation of high-impact initiatives such as the Next-Gen Orchestration Engine (NGOE) and MCP Gateway. • Integrate generative and agentic AI capabilities into the platform to drive customer outcomes. • Partner with Product and Engineering leadership to translate product vision into actionable technical roadmaps. • Maintain high standards for quality security system resiliency performance and operational efficiency. • Stay hands-on by participating in technical design reviews code reviews architectural planning and incident retrospectives. • Champion modern engineering practices such as continuous delivery test automation and cloud-native deployment. • Mentor senior and staff engineers and contribute to the growth of engineering leadership within the team. • Represent the platform team in broader architectural discussions and technical forums.

🎯 Requisitos

• 10+ years of professional software engineering experience • Strong architectural and technical leadership in data-heavy integration-driven cloud-native platforms • Deep understanding of system design architectural trade-offs and performance tuning at scale • Experience building AI agents agentic workflows reusable AI capabilities and MCP servers/clients • Proficient in modern backend languages (Java Scala or Python preferred) and SQL • Hands-on experience with data systems like Postgres Snowflake Redis/Aerospike and messaging systems like Kafka or Pulsar • Experience with modern infrastructure including CI/CD pipelines Kubernetes and cloud platforms (AWS GCP or Azure) • Experience in agile development methodologies like Scrum Kanban or SAFe

🏖️ Benefícios

• Health insurance • 401(k) • Paid time off • Flexible work arrangements • Professional development opportunities • Wellness programs