Senior Staff Software Engineer - AI & Underwriting Platforms - Hybrid

GEICO

Remote Hybrid

Quick summary

Work type
Remote
Location
Seattle, WAPalo Alto, CADallas, TXBethesda, MD
Salary
$110,000–$260,000 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $185k
$92k most similar roles pay here $278k

This role pays less than 64% of similar roles. Most pay $165,825–$235,750 — the shaded band above. At the midpoint, this role pays about $185k versus about $201k 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 122 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 122 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Staff Software Engineer - AI & Underwriting Platforms - Hybrid

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As a Senior Staff Engineer at GEICO, you will lead the design and delivery of large-scale underwriting platforms that leverage AI and LLM technologies to enhance decision-making across all business lines. You will work closely with product leaders and senior engineers to architect highly available and scalable cloud-native systems on AWS, Azure, or GCP, ensuring end-to-end ownership from concept through production. Your responsibilities include mentoring teams, driving technical leadership, and championing best practices in observability, performance, reliability, and security. With a strong background in distributed systems, DevOps, and AI/ML integration, you will play a pivotal role in modernizing legacy systems and transforming GEICO into a leading technology company at massive scale.

Skills

AWS Azure GCP Java Go C++ REST gRPC DevOps CI/CD Terraform Docker Kubernetes AI ML LLMs RAG Prometheus Grafana PostgreSQL Redis Observability Performance Tuning

What you'll do

  • Lead the design and delivery of large-scale underwriting platforms with AI capabilities.
  • Architect highly available, secure, and scalable services for enterprise workloads.
  • Drive end-to-end ownership of systems from concept through long-term evolution.
  • Provide technical leadership across multiple teams, influencing engineering standards.
  • Champion best practices in observability, performance, reliability, and security.

What we're looking for

  • 10+ years of professional software engineering experience with senior-level technical leadership
  • Deep expertise in distributed systems and service-oriented architectures (REST, gRPC)
  • Hands-on experience designing cloud-native systems on AWS, Azure, or GCP
  • Proven track record in AI/ML solutions integration, including LLMs and RAG-based approaches
  • Strong ability to lead through influence and collaborate across disciplines in a fast-paced environment
  • Extensive experience with DevOps practices, CI/CD pipelines, and infrastructure as code
  • Advanced understanding of data structures, algorithms, and system design principles

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