
1001 - 5000 employees
đŒ Consulting
đŁ Marketing
âïž SaaS
đ° Private Equity Round on 2014-04
Consulting âą Marketing âą SaaS
ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.
đ„ 13 hours ago
đ€ Texas â Remote
đ” $133k - $209k / year
â° Full Time
đ Senior
â DevOps & Site Reliability Engineer (SRE)
đŠ H1B Visa Sponsor
đ» Ghost score 0%
Airflow
Apache
AWS
BigQuery
Cloud
Google Cloud Platform
Grafana
Jenkins
Kafka
Kubernetes
Prometheus
Python
RabbitMQ
Spark
Terraform
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1001 - 5000 employees
đŒ Consulting
đŁ Marketing
âïž SaaS
đ° Private Equity Round on 2014-04
Consulting âą Marketing âą SaaS
ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.
âą Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure âą Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE) âą Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency âą Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing âą Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, Google Pub/Sub, BigQuery, and BigTable âą Work with workflow orchestration services such as Apache Airflow and Google Cloud Composer âą Develop and maintain automation scripts and tooling using Python to support DevOps processes âą Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency âą Implement SRE practices to improve service reliability, scalability, and cost-effectiveness âą Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies âą Ensure compliance with security policies and best practices in cloud environments âą Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices âą Collaborate with cross-functional teams to improve development workflows and infrastructure
âą 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role âą Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow âą Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments âą Hands-on experience with Infrastructure-as-Code (IaC) using Terraform âą Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions âą Programming skills in Python for automation and scripting âą Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch) âą Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering âą Experience with cost optimization strategies for cloud infrastructure âą Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams âą Ability to work collaboratively in an agile environment and support multiple teams âą Preferred: Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery) âą Preferred: Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ) âą Preferred: Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer âą Preferred: Knowledge of service mesh technologies like Istio âą Preferred: Experience with GitOps workflows and Kubernetes-native tooling
âą Comprehensive benefits âą Holistic mind, body and lifestyle programs designed for overall well-being âą Additional compensation such as Bonus, Commission, Equity and other benefits may also apply
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