Staff Software Engineer: AI-Driven, Scalable Systems

GEICO Norwalk; Palo Alto (CA); On-site; USD 110,000 - 230,000; Full time

Job summary

GEICO is seeking an experienced Staff Engineer to drive high-performance, scalable platforms supporting the Digital Experience for customers. The role focuses on building zero-downtime systems, mentoring teams, and advancing AI-driven modernization across the tech organization.

You will contribute across the stack from front-end UIs to back-end services, leveraging Azure and cloud-native architectures to enable rapid, reliable software delivery in a fast-growing environment.

Qualifications

• Experience with multiple modern languages such as Java, C#, Python, TypeScript or similar.
• Experience designing scalable, reliable architectures and defending design decisions.
• Mentoring juniors and leading teams in a fast-paced environment.
• Strong CS fundamentals in data structures and algorithms.

Responsibilities

• Scope, design, and build scalable, resilient distributed systems.
• Engage in cross-functional collaboration across the software lifecycle.
• Participate in design reviews to elevate engineering quality.
• Mentor juniors and help them succeed.
• Utilize languages like Python, C#, Java, TypeScript; SQL/NoSQL databases; Docker and Kubernetes; Azure tools.
• Share best practices and improve processes across teams.
• Build product definitions and drive toward optimal solutions.

Skills

Distributed systems

Cross-functional collaboration

AI/LLM basics

Programming languages

Cloud technologies

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Azure

REST APIs

JSON/XML

Job description

GEICO is seeking an experienced Staff Engineer to drive high-performance, scalable platforms supporting the Digital Experience for customers. The role focuses on building zero-downtime systems, mentoring teams, and advancing AI-driven modernization across the tech organization.

You will contribute across the stack from front-end UIs to back-end services, leveraging Azure and cloud-native architectures to enable rapid, reliable software delivery in a fast-growing environment.