Senior Staff Engineer- Observability and Reliability Platform Engineering (REMOTE)

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Job Overview

The Senior Staff Engineer - Observability and Reliability Platform Engineering at GEICO plays a critical role in enhancing system reliability and performance through advanced observability practices. This position is responsible for designing and implementing monitoring solutions that ensure the availability and efficiency of our systems while collaborating with cross-functional teams to troubleshoot issues, improve engineering processes, and architect scalable solutions. The ideal candidate will demonstrate deep technical expertise and a proactive approach to problem-solving in a dynamic, remote work environment.

Job Responsibilities

• Design and implement observability and monitoring solutions across multiple platforms to enhance system performance.
• Develop and maintain the reliability platforms that support and optimize cloud-based infrastructure.
• Collaborate with software engineering teams to integrate best practices for application performance management.
• Analyze system metrics and logs to troubleshoot issues and recommend improvements.
• Participate in root cause analysis and post-mortem processes for system failures.
• Lead cross-functional projects that enhance the operational reliability of services.
• Provide technical mentorship and guidance to junior engineers within the team.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum of 7 years of experience in software engineering or reliability engineering roles.
• Strong proficiency in observability tools such as Prometheus, Grafana, or DataDog.
• Experience with cloud technologies (AWS, Azure, Google Cloud Platform).
• Solid understanding of CI/CD practices and tools.
• Proven experience in coding languages such as Python, Go, or Java.
• Excellent problem-solving skills and the ability to work independently.

Technologies & Tools

In this role, the Senior Staff Engineer will utilize a blend of technologies and tools including cloud platforms such as AWS and GCP for infrastructure deployment, observability tools like Prometheus and Grafana for monitoring, CI/CD tools for application delivery, and programming languages such as Python and Go for scripting and automation. Familiarity with container orchestration platforms like Kubernetes may also be essential.

Ideal Candidates

The ideal candidates for this position will possess strong analytical and critical thinking skills, with the ability to thrive under pressure and adapt quickly to changing priorities. They will demonstrate excellent communication abilities that facilitate effective collaboration within diverse teams. A proactive, self-motivated attitude is essential, along with a deep commitment to continuous learning and improvement in a fast-paced environment.