Senior DevOps Engineer
ZoomInfo Technologies
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 133,000–209,000/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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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