Senior DevOps Engineer

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 of the company allow 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 architecting 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 optimised for high-performance workloads.

Responsibilities:

• Cloud Architecture and 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 optimisation, and seamless application deployment.
• AI and Data Infrastructure: Build and maintain the specialised infrastructure required for AI workloads.
• Database Management: Maintain a diverse data layer, including Vector search databases (for AI retrieval), PostgreSQL, MySQL, and MongoDB.
• Observability and 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 and Traffic: Manage complex cloud networking topologies, including VPCs, Load Balancing, Service Meshes, and Caching layers (e. g., Redis) to minimise 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.

Requirements:

• 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 rigour as application code (testing, PR reviews, CI/CD).
• Data Systems: Hands-on experience managing relational and non-relational databases.
• PaaS and 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.

Abilities Required:

• Demonstrated ability to learn new technologies quickly and independently.
• Strong technical, organisational, 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).