Senior Staff Engineer – SRE, Incident Prevention, Post Incident Correction of Errors

GEICO

. Design, develop, and operate automation, self-service tools, dashboards, and data pipelines that automate and scale COE workflows .

Posted 9/29/2026full-timeUnited StatesSenior💰 $110,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in automation, incident management, and system design, with a strong focus on improving reliability and scalability in production environments. Proficient in multiple programming languages and cloud technologies, with a proven ability to lead technical initiatives and coach engineering teams.

Highest-signal resume keywords

Hands-On Proficiency In Go, Java, Python, And C#Experience With Kubernetes And Serverless TechnologiesDeep Incident Forensics And Root Cause Analysis SkillsStrong Understanding Of Observability And Reliability Engineering10+ Years Of Professional Software Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AutomationIncident ManagementSystem DesignRoot Cause AnalysisData PipelinesFull-Stack Application DevelopmentObservabilityTechnical LeadershipSoftware Engineering FundamentalsCloud Technologies

Soft Skills

Strong Communication SkillsCoaching Engineering TeamsAbility To Perform Under PressureInfluencing Engineering Outcomes

Tools & Technologies

KubernetesAzureAWSGrafanaDatadogSplunkPower BISQLNoSQLPagerDuty

Industry Keywords

Incident ResponseHigh-Severity IncidentsProduction SupportContinuous ImprovementMission-Critical Systems

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformGrafanaJavaKubernetesNoSQLPythonSparkSplunkSQLGo

About the role

Key responsibilities & impact

Design, develop, and operate automation, self-service tools, dashboards, and data pipelines that automate and scale COE workflows
Reduce manual tracking and follow-ups
Run and moderate weekly GEICO-wide COE presentation sessions for qualified high-severity incidents
Lead and improve the COE process across the engineering organization
Provide technical leadership in system design, architecture, hands-on engineering, COE improvements, automation, and incident tooling
Coach application engineering teams on identifying true root causes and producing clear, complete, high-quality COEs
Lead root cause analysis across distributed systems using logs, metrics, traces, and observability data
Identify gaps such as missing alerts, weak monitoring, incomplete runbooks, poor testing, and bypassed deployment controls
Analyze incidents for repeat patterns and connect lessons across COEs
Share insights that improve prevention and reliability
Partner with application engineering, platform, SRE, and operations stakeholders to drive accountability and continuous improvement
Improve technology strategies and roadmaps
Participate in high-severity incident leadership and management
Participate in a 24x7 on-call rotation supporting incident response and production support for mission-critical platforms

Requirements

What you’ll need

Hands-on proficiency in multiple languages, including Go, Java, Python, and C#
Experience building production-grade full-stack applications on Kubernetes and serverless technologies (KNative) in Azure and AWS
Experience with SQL and NoSQL technologies
Experience building and using data pipelines, analytics, and dashboards using Spark, Trino, Grafana, Superset, and Power BI
Experience with OpenTelemetry and observability platforms such as Grafana, Datadog, Splunk, and Azure Monitor
Experience with incident management platforms such as PagerDuty
Proficiency with AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot
Experience improving incident, post-incident review, or reliability processes at scale through automation, data, and cross-team influence
Deep incident forensics and root cause analysis skills
Strong understanding of observability, reliability engineering, incident management, and post-incident improvement practices
Experience supporting incident response and high-severity production incidents in complex environments
Strong software engineering fundamentals and system design skills
Ability to lead technical design and architecture decisions in complex distributed systems
Strong communication skills and ability to coach engineering teams and present findings clearly to leadership
10+ years of professional software engineering experience
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 another cloud service provider, or equivalent experience in complex hybrid environments
Demonstrated ownership of mission-critical systems operating in 24x7 production environments
Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience
Ability to influence engineering outcomes across teams
Clear, concise, professional oral and written communication
Ability to perform effectively under pressure, including during production support and high-severity incident response
Ability to participate in a 24x7 on-call rotation
GEICO will not sponsor a new applicant for employment authorization for this position

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Benefits
Flexibility to support well-being and future
Inclusive and collaborative culture