Senior Staff Engineer, Cloud Observability & Automation

Geico; Dallas (TX); On-site; USD 110,000 - 260,000; Full time

Job summary

GEICO is seeking an experienced Senior Staff Engineer to design, deploy, and maintain OpenStack-based cloud environments and to drive automation across CI/CD pipelines. You will mentor engineers, optimize monitoring and observability stacks, and partner with security, operations, and development teams to deliver scalable, reliable platforms.

You will develop Python scripts and Ansible playbooks, support containerization with Docker and Kubernetes, and contribute to performance tuning and

Qualifications

• 8+ years of professional experience in cloud engineering, platform administration, or infrastructure automation.
• 8+ years with OpenStack or similar cloud platforms.
• 8+ years with Python and Ansible.
• Experience with CI/CD systems and containerization.
• Strong knowledge of monitoring, logging, and observability.

Responsibilities

• Improve monitoring, observability and performance of deployed systems.
• Design, deploy, and manage OpenStack-based cloud environments.
• Develop and maintain automation scripts and playbooks using Python, Ansible, and GitHub Workflows.
• Implement and optimize CI/CD pipelines for infra and apps.
• Support containerization initiatives (Docker, Kubernetes).
• Mentor junior engineers.

Skills

Monitoring

Observability

Python

Ansible

CI/CD

Cloud engineering

Education

Bachelor's degree in Computer Science or related field

Tools

OpenStack

Grafana

Prometheus

Docker

Kubernetes

Jenkins

GitHub Actions

ArgoCD

Job description

GEICO is seeking an experienced Senior Staff Engineer to design, deploy, and maintain OpenStack-based cloud environments and to drive automation across CI/CD pipelines. You will mentor engineers, optimize monitoring and observability stacks, and partner with security, operations, and development teams to deliver scalable, reliable platforms.

You will develop Python scripts and Ansible playbooks, support containerization with Docker and Kubernetes, and contribute to performance tuning and