Senior Staff Engineer – Performance and Observability

GEICO - Springfield, MO

Hiring: Senior Staff Engineer – Performance and Observability Company: GEICO Location: Springfield, MO Job Posted Time: 2026-09-17 10:57:41 Employment Type: Hybrid Target Skills & Keywords : AWS, Ansible, ArgoCD, Azure, CI/CD, Configuration Management, Docker, GCP, GitHub, GitHub Actions, Grafana, Infrastructure as Code, Jenkins, Kubernetes, Python About the job Experience: •8+ years of professional experience in cloud engineering, platform administration, or infrastructure automation •8+ years of experience with OpenStack or similar cloud platforms •8+ years of experience with Python and Ansible •8+ years of experience with CI/CD systems and containerization technologies Required Skills: •Improve on 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 infrastructure and application delivery •Support containerization initiatives (e.g., Docker, Kubernetes) •Troubleshoot and resolve issues in cloud and automation workflows •Partner cross-functionally with development, operations, and security teams •Share best practices and improve processes within and across teams Qualifications: •Strong experience with monitoring, logging, alerting and observability in cloud environments •Deep familiarity with tools like Grafana and Promethius •Proficiency in Python programming and scripting •Strong experience with Ansible f or automation and configuration management •Applied hands-on capability in CI/CD tools and workflows (e.g., Jenkins, GitHub Actions, ArgoCD) •Proficiency in Python programming or scripting •Good understanding of networking and security best practices in cloud deployments •Excellent troubleshooting and problem-solving skills •Strong communication and collaboration abilities •Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience Compensation: •$105,000 - $230,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!