Senior DevOps Engineer

Join our team as a Senior DevOps Engineer, where you will drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure. You will deploy and manage services on Kubernetes-based platforms, provision and manage cloud infrastructure using Terraform, and maintain and optimize CI/CD pipelines. Additionally, you will work with cloud-native data services, develop automation scripts, monitor system performance, and implement SRE practices.

About ZoomInfo

Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.

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 (GKE).

Requirements

• 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
• Experience with GitOps workflows and Kubernetes-native tooling

Preferred

• Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ)
• Knowledge of service mesh technologies like Istio

Pay

This role offers competitive compensation, bonuses, equity, flexible paid time off, and a hybrid working model.