ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Drive best practices for data streaming, processing, analytics, and monitoring infrastructure.
  • Deploy and manage production workloads on Kubernetes platforms including Amazon EKS and Google GKE.
  • Provision and manage secure, scalable, and cost-efficient cloud infrastructure with Terraform.
  • Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions.
  • Support cloud-native data services including Kinesis, Glue, Dataflow, Pub/Sub, BigQuery, and BigTable.
  • Develop Python automation scripts and tooling for DevOps processes.
  • Monitor performance, troubleshoot incidents, and implement proactive reliability improvements.
  • Apply SRE practices to improve service reliability, scalability, and cost effectiveness.
  • Analyze cloud spending and implement cost-saving strategies while ensuring security compliance.
  • Drive adoption of company standards and collaborate with data and cross-functional teams on DevOps and SRE practices.

Requirements

  • 7+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure.
  • Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
  • Production experience deploying and managing Kubernetes workloads on EKS or GKE.
  • Hands-on experience with Terraform for Infrastructure as Code.
  • Expertise managing CI/CD pipelines with Jenkins, ArgoCD, and GitHub Enterprise Actions.
  • Python programming skills for automation and scripting.
  • Experience with observability tools such as Prometheus, Grafana, Datadog, or CloudWatch.
  • Strong understanding of SRE principles, performance monitoring, incident response, and reliability engineering.
  • Experience optimizing cloud infrastructure costs and influencing change across multiple teams.
  • Ability to collaborate in an agile environment and support multiple teams.
  • Preferred: experience with data lakes, Spark, Flink, Snowflake, BigQuery, Kafka, RabbitMQ, Airflow, Cloud Composer, Istio, GitOps, or Kubernetes-native tooling.

Benefits

  • US base salary of $133,000–$209,000.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive employee benefits.
  • Holistic mind, body, lifestyle, and well-being programs.
  • Remote work opportunity.

Interested in this position?

Apply directly on the company website

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