ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen—fast.

Job Overview

The Infrastructure Engineering group (IE) is responsible for innovation in infrastructure and automation for ZoomInfo Engineering. Our size, culture, and the support we receive from every area the company allows us unusual latitude and agility. We’re using that to build world class, multiprovider cloud infrastructures, based on the best technologies available.

Staff in ZoomInfo Engineering are given autonomy and personal discretion in their work, and they get to see their work have a direct and tangible impact on the success of Engineering, and the company’s broader goals. If the idea of operating within an international team, in a fast paced work environment appeals to you, we want to hear from you.

We are looking for a Senior Infrastructure Engineer to lead the evolution of our cloud ecosystem. In this role, you won't just be "keeping the lights on"—you will be architect the foundation that powers our next generation of AI-driven products. You will bridge the gap between software engineering and systems operations, ensuring our platform is scalable, resilient, and optimized for high-performance workloads.

What You’ll do:

• Cloud Architecture & Orchestration: Design and manage multi-cloud environments (AWS/GCP) using Terraform to ensure infrastructure is versioned,reproducible, and scalable.

• Kubernetes Mastery: Oversee production-grade Kubernetes clusters, focusing on cluster health, resource optimization, and seamless application deployment.

• AI & Data Infrastructure: Build and maintain the specialized infrastructure required for AI workloads.

• Database Management: Maintain a diverse data layer, including Vector search databases (for AI retrieval), PostgreSQL, MySQL, and MongoDB.

• Observability & Reliability: Implement deep-stack monitoring and alerting using Datadog and Prometheus to ensure proactive issue detection and resolution.

• Automation-First Mindset: Maintain and evolve an active codebase in Python, Go, or Bash to automate repetitive tasks. You will also integrate LLMs into your workflow to accelerate scripting, documentation, and operational efficiency.

• Networking & Traffic: Manage complex cloud networking topologies, including VPCs, Load Balancing, Service Meshes, and Caching layers (e.g., Redis) to minimize latency.

• Incident Response: Lead the debugging of complex, distributed systems issues, performing root cause analysis to prevent recurrence, as part of an on-call Rotation.

What you bring:

• Experience: 7+ years of experience in Infrastructure, DevOps, or Site Reliability Engineering, with at least 5 years focused on cloud-native environments.

• Linux Systems: Solid understanding of Linux administration and performance tuning. You are comfortable navigating the command line to diagnose system-level issues.

• Infrastructure as Code: Expert-level experience with Terraform (or OpenTofu) and managing state at scale

• Containerization: Proven track record of managing Kubernetes in a production environment (EKS, GKE, or self-managed).

• Software Engineering: Strong proficiency in Python or Go. You treat infrastructure code with the same rigor as application code (testing, PR reviews, CI/CD).

• Data Systems: Hands-on experience managing relational and non-relational Databases

• PaaS & Serverless: Experience leveraging and securing PaaS offerings to speed up development cycles.

• AI-Augmented Engineering: Practical experience using LLMs (GitHub Copilot, ChatGPT, Claude) to increase your personal and team productivity.

• Demonstrated ability to learn new technologies quickly and independently
  
  
• Strong technical, organizational and interpersonal skills
  
  
• Strong written and verbal communication skills
  
  
• Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

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