# Senior DevOps Engineer

**Company:** [ZoomInfo](https://hotfix.jobs/companies/zoominfo)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $133k – $209k/yr
**Experience:** 7+ years
**Skills:** Kubernetes, Terraform, AWS, GCP, Python, Jenkins, Argo CD, Prometheus, Grafana, Datadog, SRE, apache airflow, istio, Kafka
**Posted:** 2026-07-29

> Senior DevOps Engineer responsible for building and optimizing data streaming, processing, and monitoring infrastructure on AWS/GCP Kubernetes platforms. Requires 7+ years DevOps/SRE experience, Terraform, CI/CD tools, Python, and strong cloud-native data services knowledge.

## Job Description

## What You'll Do
- 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).
- Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
- Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
- Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable.
- Develop and maintain automation scripts and tooling using Python to support DevOps processes.
- Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
- Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
- Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
- 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.

## Required Qualifications
- 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 (EKS/GKE) in production environments.
- Hands-on experience with Infrastructure-as-Code (IaC) 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 (e.g., 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.
- Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
- Ability to work collaboratively in an agile environment and support multiple teams.

## Preferred Qualifications
- Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
- Familiarity with event-driven architectures and message queues (e.g., 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.

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**Apply:** https://hotfix.jobs/jobs/c96b917e-d561-4534-b547-a3064244d88a
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