DevOps Engineer III

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.

What You'll do:

• Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms (Amazon EKS & Google Kubernetes Engine).


• Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness.


• Develop and maintain CI/CD pipelines (Jenkins, Argo CD, GitHub Actions) to enable automated testing and deployments.


• Deploy and support cloud-native data services such as Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, and BigQuery.


• Leverage AI-powered tooling (e.g., GitHub Copilot, generative-AI chat/ops assistants, and AIOps platforms) to accelerate script generation, configuration validation, and incident troubleshooting.


• Create automation scripts and internal tooling in Python to streamline DevOps workflows.


• Assist in establishing monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, or Datadog; incorporate AI-driven anomaly detection where applicable.


• Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best practice.


• Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements and company standards.


• Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams.

What you bring:

• 4–6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.


• Production experience with AWS and/or GCP data services (e.g., Kinesis, Pub/Sub, Dataflow, BigQuery).


• Hands-on experience managing containerized workloads on Kubernetes (EKS, GKE, or self-managed clusters).


• Solid understanding of Terraform (or similar IaC tools) and Git-based workflows.


• Working knowledge of CI/CD platforms such as Jenkins, Argo CD, and/or GitHub Actions.


• Proficiency with Python or another scripting language for automation.


• Familiarity with observability stacks (CloudWatch, Datadog, etc.).


• Fundamental grasp of SRE principles—service reliability, incident response, and performance monitoring.


• Effective communication skills and a collaborative mindset.

Preferred Qualifications:

• Demonstrated experience using AI-powered copilots, chat assistants, or AIOps platforms to accelerate infrastructure work or incident resolution.


• Experience with workflow orchestration tools (Apache Airflow, Cloud Composer).


• Exposure to big-data frameworks (Spark, Flink) or modern data-lake architectures.


• Knowledge of cost-optimization techniques for cloud resources.


• Familiarity with event-driven architectures and message queues (Kafka, RabbitMQ).


• Understanding of GitOps workflows and service mesh technologies such as Istio.

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