Staff Software Engineer: AI-Driven Distributed Systems Lead

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

Benefits offered by this job

Competitive pay

Benefits

Professional development

Job summary

GEICO is seeking a Staff Engineer to drive scalable, resilient distributed systems across the tech stack, from front-end to back-end services. You will mentor engineers, participate in design reviews, and help raise development efficiency with AI-driven approaches.

Ideal candidates bring 8+ years in software development, architecture experience, and strong collaboration across cross-functional teams in a fast-paced, startup-like environment.

Qualifications

• 8+ years of professional software development experience.
• Experience contributing to architecture and design of systems.
• Experience mentoring juniors.
• Strong knowledge of CS data structures and algorithms.
• Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON.
• Experience with microservices and REST APIs.
• Familiarity with cloud platforms (Azure, AWS, GCP).

Responsibilities

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

Skills

Java

Python

C#

TypeScript

SQL

NoSQL

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Azure

REST APIs

Job description

GEICO is seeking a Staff Engineer to drive scalable, resilient distributed systems across the tech stack, from front-end to back-end services. You will mentor engineers, participate in design reviews, and help raise development efficiency with AI-driven approaches.

Ideal candidates bring 8+ years in software development, architecture experience, and strong collaboration across cross-functional teams in a fast-paced, startup-like environment.