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Mid LevelFull-timePythonRustAWSGCPKubernetesTerraformCI/CDGitGoAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
ZoomInfo’s Infrastructure Engineering organization is looking for a results-oriented DevOps Engineer 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 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.
- →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.
- →Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams.
Requirements
- ✓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 GitHub Actions.
- ✓Proficiency with Python or another scripting language for automation.
- ✓Familiarity with observability stacks.
- ✓Fundamental grasp of SRE principles—service reliability, incident response, and performance monitoring.
- ✓Effective communication skills and a collaborative mindset.
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