[Hiring] Principal DevOps Engineer @ZoomInfo Technologies LLC

Role Description

Define the technical vision and multi-quarter roadmap for cloud infrastructure, aligned with engineering and business goals.

• Lead architecture and design for cross-team initiatives, driving decisions through RFCs and design reviews.
• Build and evolve internal platform products that make engineering teams faster and safer, and own their full lifecycle.
• Deploy and manage infrastructure hands-on through infrastructure as code, across cloud and container platforms.
• Own reliability for critical infrastructure: define SLOs, lead complex incidents, and drive postmortem actions to completion.
• Drive cost efficiency and capacity planning across cloud providers.
• Embed security, compliance, and policy as code into the platform by default.
• Apply AI and agent-based tooling to automate operations and improve developer experience.
• Mentor senior engineers, grow technical leaders, and set standards for code, documentation, and operations.
• Partner with engineering leadership and product teams, influencing direction without direct authority.

Qualifications

• 10+ years in infrastructure, platform, or SRE engineering, including experience operating at Staff or Principal scope.
• Proven record of leading large, cross-team infrastructure initiatives from ambiguous problem to production.
• Deep expertise in at least one major cloud (GCP or AWS) and working knowledge of a second.
• Expert-level Kubernetes: designing, scaling, upgrading, and troubleshooting production clusters (GKE or EKS).
• Strong infrastructure as code practice with Terraform, including module design and state management at scale.
• Strong software engineering skills in Go or Python, with a maintained production codebase.
• Solid networking fundamentals: VPC design, routing, DNS, load balancing, service mesh (Istio or similar).
• Experience building observability at scale (Datadog, Prometheus, OpenTelemetry).
• GitOps and CI/CD experience (ArgoCD, Flux, or similar).
• Excellent written and spoken English, with the ability to explain complex tradeoffs clearly in documents and async channels.

Requirements

• Experience with AI/LLM platform infrastructure or agent-based automation.
• Managed data services at scale (e.g. MongoDB Atlas, Cloud SQL, Kafka).
• Secrets management and policy as code (e.g. Akeyless, Vault, OPA).
• FinOps experience with measurable savings.
• Experience in a globally distributed engineering organization.

Education

• Bachelor's Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.

Benefits

• Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training.
• Comprehensive benefits including holistic mind, body and lifestyle programs designed for overall well-being.
• US base salary for this position: $155,400 — $244,200 USD.