Senior Engineer

GEICO

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bethesda, MDRichardson, TX
Salary
$100,000–$215,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $158k
$86k most similar roles pay here $229k

This role pays less than 53% of similar roles. Most pay $149,350–$177,250 — the shaded band above. At the midpoint, this role pays about $158k versus about $163k 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.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Engineer

Senior Engineer The Senior Engineer joins the Technology Operations Center to enhance application and platform resiliency through advanced site reliability engineering. This role focuses on building, operating, and troubleshooting high-performance distributed platforms while improving incident management tooling and processes. Day-to-day responsibilities include developing automation, self-service tools, data pipelines, and dashboards to streamline on-call procedures and reduce operational risk. The candidate will serve as a technical leader during high-severity incidents, performing root cause analysis and designing systemic reliability improvements. Required skills include proficiency in Go, Java, Python, or C# for building full-stack applications on Kubernetes and serverless technologies like KNative in Azure and AWS environments. Experience with SQL, NoSQL, Spark, Trino, Grafana, Datadog, Splunk, and PagerDuty is essential. The role addresses the critical business problem of maintaining high availability for customer-facing services through automated incident response and robust infrastructure as code.

What does a Engineer earn in Texas?

Median $180625 from 36 postings across 12 companies.

See salary data

What you'll do

  • Design and operate automated tools, dashboards, and data pipelines to scale incident management and on-call processes.
  • Build shared services, APIs, and integrations to standardize incident response and reduce operational risk across the enterprise.
  • Act as a technical leader during high-severity incidents to provide troubleshooting strategy and coordinate cross-team responses.
  • Conduct root cause analysis and lead post-incident reviews to implement systemic reliability improvements.
  • Develop and maintain operational runbooks, triage models, and readiness criteria for critical infrastructure.
  • Implement CI/CD pipelines, infrastructure as code, and automated testing to ensure reliable software delivery.
  • Mentor other engineers through technical leadership, code reviews, and coaching on operational excellence.
  • Participate in a 24x7 on-call rotation to provide production support for mission-critical platforms.

What we're looking for

  • Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience.
  • 4+ years of professional software engineering experience, preferably in platform, reliability, backend, or distributed systems.
  • 3+ years of experience with architecture, design, system reliability, scalability, and technical delivery for production systems.
  • 2+ years of experience with open-source frameworks, modern engineering practices, or platform technologies.
  • 2+ years of experience with Azure, AWS, GCP, or other cloud service providers in complex hybrid environments.
  • Hands-on proficiency in Go, Java, Python, or C# for building full stack applications on Kubernetes and serverless technologies.
  • Experience with SQL/NoSQL databases, data pipelines (Spark, Trino), observability platforms (Grafana, Datadog, Splunk), and PagerDuty.
  • Proficiency with AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot (preferred).

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