Senior DevOps Engineer: Cloud, Kubernetes & Data Pipelines

Zoominfo; Waltham (MA); On-site; USD 113,400 - 178,200; Full time

Job summary

ZoomInfo is seeking a DevOps/SRE professional to design, provision, and manage data services on Kubernetes platforms (EKS, GKE). You will implement Terraform-based IaC, build CI/CD pipelines, and deploy cloud-native services like Kinesis, Pub/Sub, and Dataflow.

You will also work with AI-assisted tooling and Python-based automation to improve reliability and efficiency. You will contribute to monitoring, on-call rotations, incident response, and post-incident reviews, while collaborating with

Qualifications

• 4–6 years in a DevOps, SRE, or Cloud Infrastructure role.
• Production experience with AWS and/or GCP data services (Kinesis, Pub/Sub, Dataflow, BigQuery).
• Hands-on experience managing containerized workloads on Kubernetes (EKS, GKE, or self-managed).
• 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.

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, Pub/Sub, Dataflow, and BigQuery.
• Collaborate with engineers to ensure infrastructure aligns with application requirements and company standards.

Skills

Kubernetes

Terraform

Python

AWS

GCP

CI/CD

Tools

Jenkins

Argo CD

GitHub Actions

Job description

ZoomInfo is seeking a DevOps/SRE professional to design, provision, and manage data services on Kubernetes platforms (EKS, GKE). You will implement Terraform-based IaC, build CI/CD pipelines, and deploy cloud-native services like Kinesis, Pub/Sub, and Dataflow.

You will also work with AI-assisted tooling and Python-based automation to improve reliability and efficiency. You will contribute to monitoring, on-call rotations, incident response, and post-incident reviews, while collaborating with