This role pays less than
56%
of similar roles. Most pay
$157,500–$225,300
— the shaded band above.
At the midpoint, this role pays about
$185k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About GEICO
GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance
GEICO currently has
81 open roles
on FindRole.
Listed pay typically runs
$110,000–$230,000
across 79 roles with salary data.
Senior Staff Engineer - SRE - Incident Prevention / Post Incident Correction of Errors joins the site reliability team to enhance the reliability and availability of distributed platforms. This role focuses on improving Correction of Error (COE) tooling, conducting root cause analysis, and building automation to eliminate recurring incident patterns. The engineer will design data pipelines, dashboards, and self-service tools while coaching teams to improve post-incident review quality. Key technologies include Go, Java, Python, C#, Kubernetes, and KNative across Azure and AWS environments. The role requires expertise in SQL, NoSQL, Spark, Trino, Grafana, Datadog, Splunk, and PagerDuty. Candidates must possess strong skills in OpenTelemetry, AI-assisted development tools like GitHub Copilot, and advanced incident forensics to solve complex reliability challenges within a high-scale production environment while ensuring continuous improvement through automated workflows and technical leadership.
What does a Engineer earn in California?
Median $209800 from 87 postings across 24 companies.
Develop automation, self-service tools, dashboards, and data pipelines to scale Correction of Error (COE) workflows.
Lead and moderate weekly company-wide presentation sessions for high-severity incidents to ensure proper reporting and preparation.
Provide technical leadership in system design and architecture to improve incident tooling and reliability processes.
Coach engineering teams to identify true root causes and produce high-quality, actionable post-incident reports.
Perform deep root cause analysis on distributed systems using logs, metrics, traces, and observability data.
Identify infrastructure gaps such as missing alerts, weak monitoring, or inadequate runbooks following incidents.
Analyze incident patterns across the organization to identify and eliminate recurring reliability issues.
Manage high-severity production incidents and participate in a 24/7 on-call rotation for mission-critical platforms.
What we're looking for
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience.
10+ years of professional software engineering experience, preferably in platform, reliability, backend, or distributed systems.
8+ years of experience with architecture, design, system reliability, scalability, and technical leadership for production systems.
6+ years of experience with open-source frameworks, modern engineering practices, or platform technologies.
4+ years of experience with Azure, AWS, GCP, or other cloud service providers in complex hybrid environments.
Hands-on proficiency in Go, Java, Python, and C# for building full-stack applications on Kubernetes and serverless technologies.
Experience with SQL/NoSQL, data pipelines (Spark, Trino), observability tools (Grafana, Datadog, Splunk), and incident management platforms like PagerDuty.
Proficiency in AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot (preferred).