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Senior DevOps Engineer

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Onsite

Senior DevOps Engineer

ZoomInfo

Senior DevOps Engineer

Skills

Google Cloud PlatformBig DataPythonKafkaRabbitMQSnowflakeGoogle BigQueryJenkinsDatadogGrafanaData AnalysisAWSPrometheusGitHubKubernetesAWS KinesisApache AirflowComplianceTerraform

12 days ago

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Important information


Contract type:

Permanent

Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

11 October 2026

What they need


  • 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

Benefits

  • Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
  • Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
  • Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
  • Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
  • Vacation & Time Off - We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
  • Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance- Hands-on experience with Infrastructure-as-Code (IaC) using Terraform
  • Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams
  • Programming skills in Python for automation and scripting
  • Ability to work collaboratively in an agile environment and support multiple teams
  • Experience with cost optimization strategies for cloud infrastructure
  • 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
  • Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions
  • Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments
  • Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering
  • Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch)
  • Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery)
  • Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer
  • Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ)
  • Experience with GitOps workflows and Kubernetes-native tooling
  • Knowledge of service mesh technologies like Istio

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