Principal Software Engineer

🕒 il y a 1 mois

🦀 Maryland, Massachusetts – Distant

🦀 Maryland – Remote 🍂 Massachusetts – Remote

💵 $163 800 - $257 400 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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ZoomInfo

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🤝 B2B

☁️ SaaS

🏢 Entreprise

💰 Private Equity Round en 2014-04

B2B • SaaS • Enterprise

ZoomInfo est un fournisseur de premier plan de solutions d'intelligence de marché pour les professionnels de la vente et du marketing. La plateforme offre des insights et des analyses de données complètes pour aider les entreprises à identifier leurs publics cibles, gérer leurs relations clients et stimuler la croissance des revenus. En utilisant des technologies avancées et des bases de données étendues, ZoomInfo permet aux organisations d'optimiser leurs stratégies de vente et d'améliorer leur efficacité opérationnelle.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

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