Staff Engineer

GEICO

. Design, develop, and operate automation, self-service tools, dashboards, and data pipelines for incident management, on-call, paging, and troubleshooting .

Posted 9/29/2026full-timeUnited StatesLead💰 $110,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing automation tools, incident management strategies, and data pipelines while leading technical decisions in complex distributed systems. Proficient in multiple programming languages and cloud technologies, with a strong focus on observability, reliability engineering, and incident response.

Highest-signal resume keywords

Go ProgrammingKubernetes Application DevelopmentIncident ManagementObservability EngineeringTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java ProgrammingPython ProgrammingC# ProgrammingSQL TechnologiesNoSQL TechnologiesData Pipeline DevelopmentAnalytics and Dashboard CreationRoot Cause AnalysisSystem DesignSoftware Engineering Fundamentals

Soft Skills

Strong Communication SkillsCoaching and MentoringAbility to Perform Under Pressure

Tools & Technologies

KubernetesAzureAWSGrafanaPower BIDatadogSplunkPagerDutyOpenTelemetryAI-Assisted Development Tools

Industry Keywords

Incident ResponseOperational ReadinessCI/CDInfrastructure as CodePost-Incident ReviewReliability EngineeringCloud-Native ServicesComplex Distributed Systems24x7 Production EnvironmentsTechnical Design Decisions

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 for incident management, on-call, paging, and troubleshooting
Build shared services, APIs, data contracts, automation, and integrations to standardize incident response and reduce operational risk
Apply engineering standards across design, implementation, deployment, testing, observability, security, operational support, and production readiness
Champion safe deployment, CI/CD, infrastructure as code, automated testing, rollback patterns, and operational controls
Evaluate and implement technologies and tools that improve platform capability, compliance, visibility, reliability, and engineering effectiveness
Act as a technical leader and escalation point during high-severity incidents
Guide troubleshooting strategy, cross-team coordination, impact analysis, and risk-based decision making
Lead or materially contribute to post-incident reviews, root cause analysis, corrective action planning, and systemic reliability improvements
Develop and maintain incident response strategies, operational runbooks, readiness criteria, triage models, and resilience practices
Lead complex design and architecture reviews across teams, services, dependencies, and operational domains
Partner with SRE, platform, product, infrastructure, security, and business stakeholders
Translate technical concepts, risks, and tradeoffs for technical leaders, business stakeholders, and non-technical audiences
Mentor senior and mid-level engineers through technical leadership, code and design reviews, documentation, and operational coaching
Participate in a 24x7 on-call rotation supporting incident response and production support

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 such as Knative in Azure and AWS
Experience with SQL and NoSQL technologies and cloud-native services
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
Strong incident forensics and root cause analysis skills
Strong understanding of observability, reliability engineering, incident management, and post-incident improvement practices
Experience supporting high-severity production incidents in complex environments
Strong software engineering fundamentals and system design skills
Ability to lead technical design decisions in complex distributed systems
Strong communication skills and ability to coach engineers and present findings clearly to leadership
8+ years of professional software engineering experience
6+ years of experience with architecture, design, system reliability, scalability, and technical leadership for production systems
4+ years of experience with open-source frameworks, modern engineering practices, or platform technologies
3+ 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
Must communicate in a clear, concise, professional oral and written manner
Must perform effectively under pressure and in stressful situations
Must participate in a 24x7 on-call rotation
At this time, 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
Equal employment opportunity
Disability accommodations