# Senior DevOps Engineer

**Company**: ZoomInfo
**Location**: Toronto, ON
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zoominfo/jobs/8584564002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7e2ef977-cd9

## Description

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life.

As a Senior DevOps Engineer, you will drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure. You will deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE). You will provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.

Responsibilities:

- Drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure.

- Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).

- Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.

- Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.

- Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable.

- Familiarity with workflow orchestration services such as Apache Airflow and Google Cloud Composer.

- Develop and maintain automation scripts and tooling using Python to support DevOps processes.

- Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.

- Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.

- Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.

- Ensure compliance with security policies and best practices in cloud environments.

- Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.

- Collaborate with cross-functional teams to improve development workflows and infrastructure.

Requirements:

- 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.

- Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.

- Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.

- Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.

- Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.

- Programming skills in Python for automation and scripting.

- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).

- Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.

- Experience with cost optimization strategies for cloud infrastructure.

- Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.

- Ability to work collaboratively in an agile environment and support multiple teams.

## Skills

### Required
- AWS
- GCP
- Kubernetes
- Terraform
- Jenkins
- ArgoCD
- GitHub Enterprise Actions
- Python
- Prometheus
- Grafana
- Datadog
- CloudWatch
- SRE

### Nice to have
- Apache Airflow
- Google Cloud Composer
- Istio
- GitOps
- Kubernetes-native tooling
- data lake architectures
- big data processing frameworks
- event-driven architectures
- message queues

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zoominfo/jobs/8584564002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)