[Hiring] Senior Software Engineer @ZoomInfo Technologies

Role Description

As a Senior Software Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.

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.

Qualifications

• 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.
• 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.

Requirements

• 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.

Company Description