Note: The job is a remote job and is open to candidates in USA. ZoomInfo is a Go-To-Market Intelligence Platform that provides AI-ready insights, trusted data, and automation. The Principal Software Engineer will design and implement distributed systems, high-performance APIs, data pipelines, and intelligent AI/ML systems powering advertising, identity, and intent capabilities. The role also involves driving scalability and observability, collaborating cross-functionally, and mentoring engineers.
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
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Additional compensation such as Bonus, Commission, Equity and other benefits may also apply
Company Overview
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