JobHabor

Senior DevOps Engineer

ZoomInfo Technologies

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 133,000–209,000/yr
Apply on the employer’s site

Posted 1mo ago

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Responsibilities

  • Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring
  • Deploy and manage services on Kubernetes-based platforms like Amazon EKS and Google Kubernetes Engine
  • Provision and manage cloud infrastructure using Terraform
  • Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions
  • Work with cloud-native data services including AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub
  • Develop and maintain automation scripts and tooling using Python
  • Monitor system performance and troubleshoot issues
  • Implement SRE practices to improve service reliability, scalability, and cost-effectiveness
  • Analyze and optimize cloud costs
  • Ensure compliance with security policies in cloud environments
  • Drive adoption of company standards and influence data teams
  • Collaborate with cross-functional teams to improve development workflows

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 in production environments
  • Hands-on experience with Infrastructure-as-Code 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 like Prometheus, Grafana, Datadog, or CloudWatch
  • Strong understanding of SRE principles
  • Experience with cost optimization strategies for cloud infrastructure

Preferred

  • Experience with data lake architectures and big data processing frameworks like Apache Spark, Flink, Snowflake, BigQuery
  • Familiarity with event-driven architectures and message queues like 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

Skills

  • Kubernetes
  • Amazon EKS
  • Google Kubernetes Engine
  • Terraform
  • Jenkins
  • ArgoCD
  • GitHub Enterprise Actions
  • AWS Kinesis
  • AWS Glue
  • Google Dataflow
  • Google Pub/Sub
  • BigQuery
  • BigTable
  • Apache Airflow
  • Google Cloud Composer
  • Python
  • Prometheus
  • Grafana
  • Datadog
  • CloudWatch
  • Apache Spark
  • Flink
  • Snowflake
  • Kafka
  • RabbitMQ
  • Istio

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