[Remote] Principal Software Engineer

Note: The job is a remote job and is open to candidates in USA. ZoomInfo is where careers accelerate, and they are seeking a Principal Engineer for their Advertising, Company Intelligence, and Intent team. The role involves designing and implementing core systems for a real-time marketing platform, focusing on distributed systems, APIs, and leveraging machine learning for intelligent decision-making.

Responsibilities

• 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

Skills

• 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
• Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype
• Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time
• Experience in ad tech, real-time bidding (RTB), or programmatic systems
• Background in identity resolution, attribution, or behavioral analytics at scale
• Contributions to open source in ML, infrastructure, or data tooling
• Strong product instincts and a passion for building tools that drive meaningful outcomes

Benefits

• In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being.

Company Overview

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