ZoomInfo Technologies LLC is hiring a DevOps Engineer III to join our Infrastructure Engineering organization. You will strengthen our data platform teams by building and maintaining cloud-native data streaming, processing, and analytics infrastructure in AWS and GCP. Working closely with Senior and Staff DevOps Engineers, you’ll help deliver reliable, scalable systems that power our industry-leading GTM intelligence products.
What You'll Do
- Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms like Amazon EKS and Google Kubernetes Engine.
- Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness.
- Develop and maintain CI/CD pipelines using Jenkins, Argo CD, or 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 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 with tools like Prometheus, Grafana, CloudWatch, or Datadog.
- Participate in on-call rotations, incident triage, and post-incident reviews while applying SRE best practices.
- Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements.
- Document infrastructure, runbooks, and lessons learned to promote knowledge sharing.
What We're Looking For
- 4–6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
- Production experience with AWS and/or GCP data services.
- Hands-on experience managing containerized workloads on Kubernetes.
- Solid understanding of Terraform 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 like CloudWatch or Datadog.
- Fundamental grasp of SRE principles including service reliability and incident response.
- Effective communication skills and a collaborative mindset.
Nice to Have
- Demonstrated experience using AI-powered copilots or AIOps platforms to accelerate infrastructure work.
- Experience with workflow orchestration tools like Apache Airflow or Cloud Composer.
- Exposure to big-data frameworks or modern data-lake architectures.
- Knowledge of cost-optimization techniques for cloud resources.
- Familiarity with event-driven architectures and message queues like Kafka or RabbitMQ.
- Understanding of GitOps workflows and service mesh technologies such as Istio.
Technical Stack
- Amazon EKS, Google Kubernetes Engine (GKE)
- Terraform, Jenkins, Argo CD, GitHub Actions
- Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, BigQuery
- Python, Prometheus, Grafana, CloudWatch, Datadog
- Apache Airflow, Cloud Composer, Spark, Flink, Kafka, RabbitMQ, Istio
Team & Environment
You will be part of the Infrastructure Engineering organization, working closely with data platform teams.
Benefits & Compensation
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Salary range: $113,400—$178,200 USD
Work Mode
This position follows a hybrid work model.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status.
