Senior Software Engineer at ZoomInfo — Remote North America

What You'll do:

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.

What you bring:

9+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.

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.

Bonus Points:

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

#LI-SK1

#LI-Remote

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Senior Software Engineer

What You'll do:

What you bring:

Bonus Points:

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