Staff Software Engineer: Build Scalable, AI-Driven Platforms

Geico; Bethesda (MD); On-site; USD 132,000 - 230,000; Full time

Job summary

GEICO is seeking an experienced Staff Engineer to design and build scalable distributed systems across front-end to back-end layers. You will collaborate across teams, mentor junior engineers, and drive engineering excellence with AI-powered solutions.

The ideal candidate brings 8+ years of software development, strong architecture skills, and hands-on experience with Python, C#, Java, TypeScript, SQL/NoSQL, Docker, Kubernetes, and Azure services.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience.
• 8+ years of non-internship professional software development experience.
• 6+ years of experience with architecture and design.
• 4+ years of experience with AWS, GCP, Azure, or another cloud service.

Responsibilities

• Scope, design, and build scalable, resilient distributed systems.
• Engage in cross-functional collaboration throughout the software lifecycle.
• Mentor juniors and help them succeed.
• Participate in design sessions and code reviews to elevate engineering quality.
• Utilize Python, C#, Java, TypeScript, SQL, NoSQL; Docker and Kubernetes; Azure tools and services.

Skills

Python

C#

Java

TypeScript

SQL

NoSQL

Distributed systems

Mentoring

Architecture/design

CS data structures/algorithms

Cross-functional collaboration

Debugging/Code reviews

Education

Bachelor’s degree in Computer Science / Information Systems / equivalent

Tools

Docker

Kubernetes

Azure

Azure DevOps

Job description

GEICO is seeking an experienced Staff Engineer to design and build scalable distributed systems across front-end to back-end layers. You will collaborate across teams, mentor junior engineers, and drive engineering excellence with AI-powered solutions.

The ideal candidate brings 8+ years of software development, strong architecture skills, and hands-on experience with Python, C#, Java, TypeScript, SQL/NoSQL, Docker, Kubernetes, and Azure services.