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DevOps Engineer III

DevOps Engineer III

ZoomInfo TechnologiesWaltham, Massachusetts, United States
30+ days ago
Job type
  • Full-time
Job description

Job Summary

ZoomInfo’s Infrastructure Engineering organization is looking for a results-oriented DevOps Engineer III to strengthen our data platform teams. You will help build and maintain cloud-native data streaming, processing, and analytics infrastructure in AWS and GCP, working closely with Senior and Staff DevOps Engineers to deliver reliable, scalable systems that power our industry-leading GTM intelligence products.

Key Responsibilities

  • 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.

Required Qualifications

  • 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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