Principal Software Engineer

🕒 Abril 14

🦀 Maryland, Massachusetts – Remoto

🦀 Maryland – Remote 🍂 Massachusetts – Remote

💵 $163.800 - $257.400 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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ZoomInfo

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🤝 B2B

☁️ SaaS

🏢 Corporativo

💰 Private Equity Round em 2014-04

B2B • SaaS • Enterprise

ZoomInfo é um fornecedor líder de soluções de inteligência de mercado para profissionais de vendas e marketing. A plataforma oferece insights e análises de dados abrangentes para ajudar as empresas a identificar público-alvo, gerenciar relacionamentos com clientes e impulsionar o crescimento da receita. Ao aproveitar tecnologias avançadas e extensos bancos de dados, a ZoomInfo permite que as organizações otimizem suas estratégias de vendas e melhorem a eficiência operacional.

Descrição

• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time • Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform • Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making • Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights • Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads • Drive quality, performance, scalability, and observability across all systems you own • Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling • Contribute to technical leadership and mentorship of teammates

🎯 Requisitos

• 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. • Strong experience in at least one of the following: • Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines) • Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale) • Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks • Proficiency in one or more core languages: Java, Go, Python • Solid grasp of SQL and large-scale data modeling • Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake.

🏖️ Benefícios

• Health insurance • 401(k) matching • Wellness programs • Paid time off