Senior DevOps Engineer - PA166

ZoomInfo Technologies

Posted 20d ago

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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 GKE
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 such as AWS Kinesis, AWS Glue, Google Dataflow, Google Pub/Sub, BigQuery, BigTable
Develop and maintain automation scripts and tooling using Python
Monitor system performance, troubleshoot issues, and implement proactive solutions
Implement SRE practices to improve service reliability, scalability, and cost-effectiveness
Analyze and optimize cloud costs
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

7+ years of experience in 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
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 such as 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

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