ZoomInfo

Sells business data and sales intelligence

Senior DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaNo salary listedIn-person

About the Job

Requirements

At least 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.
Experience deploying and managing production workloads on Kubernetes (EKS/GKE).
Hands-on experience with Infrastructure-as-Code using Terraform.
Expertise managing CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions.
Programming skills in Python for automation and scripting.
Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or CloudWatch.
Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
Experience with cloud infrastructure cost optimization strategies.
Ability to influence and drive changes across multiple teams.
Ability to collaborate in an agile environment and support multiple teams.

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.
Provision and manage cloud infrastructure using Terraform, ensuring security, scalability, and cost-efficiency best practices.
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 including AWS Kinesis, AWS Glue, Google Dataflow, Google Pub/Sub, BigQuery, and BigTable.
Monitor system performance, troubleshoot issues, and implement proactive solutions to improve reliability and efficiency.
Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
Analyze cloud costs, identify areas for improvement, and implement 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 DevOps and SRE best practices.
Collaborate with cross-functional teams to improve development workflows and infrastructure.

Desired Qualifications

Experience with data lake architectures and big data processing frameworks such as Apache Spark, Flink, Snowflake, or BigQuery.
Familiarity with event-driven architectures and message queues such as Kafka or RabbitMQ.
Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
Knowledge of service mesh technologies such as Istio.
Experience with GitOps workflows and Kubernetes-native tooling.

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen fast.

What You'll do:

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.

What you bring:

Required Qualifications:

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.

Preferred Qualifications:

Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
Knowledge of service mesh technologies like Istio.
Experience with GitOps workflows and Kubernetes-native tooling.

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About us:

ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

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. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

About the Company

ZoomInfo

Sells business data and sales intelligence

ZoomInfo sells company and contact intelligence to sales, marketing, operations, and recruiting teams that need to find and reach customers or candidates. Its Copilot product combines buyer signals with AI recommendations so sellers focus on promising accounts. The platform connects with customer relationship software, enriches records, and routes leads, while tools for outreach and call analysis support the rest of the sales process. Customers pay for subscriptions based on features, users, and data access, with additional charges for usage and professional services. ZoomInfo traces its founding to 2007 and is headquartered in Vancouver, Washington, United States.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Vancouver, WA
Founded: 2007

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