Staff Software Engineer: Architect, Mentor, Scale Systems

GEICO

Seattle (WA)

On-site

USD 110,000 - 230,000

Full time

14 days+

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Job summary

GEICO in Washington state seeks an Staff Engineer to help deliver high‑quality technology products in a hyper‑growth environment. You will work across the stack from front‑end to back‑end, lead technical direction, and apply AI to business problems.

The role emphasizes scalable distributed systems, cross‑functional collaboration, mentoring juniors, and deep knowledge of languages like Java, Python, C#, and TypeScript, along with Docker, Kubernetes, and Azure tools.

Qualifications

  • 8+ years of professional software development experience.
  • 6+ years of experience with architecture and design.
  • 4+ years of experience with AWS, GCP, Azure, or another cloud service.
  • 1+ years of experience with Generative AI/LLM based applications.
  • Strong knowledge of CS data structures and algorithms.
  • Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON.
  • Experience with micro-services and REST APIs.
  • DevOps concepts and Azure DevOps experience.

Responsibilities

  • Scope, design, and build scalable, resilient distributed systems.
  • 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, C#, Python, TypeScript, SQL/NoSQL; Docker and Kubernetes; Azure tools.
  • Share best practices and improve processes across teams.
  • Analyze and estimate to drive the right solution.

Skills

Java
C#
Python
TypeScript
REST APIs
Distributed systems
Mentoring
Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, or equivalent

Tools

Docker
Kubernetes
Azure
AWS
GCP

Job description

GEICO in Washington state seeks an Staff Engineer to help deliver high‑quality technology products in a hyper‑growth environment. You will work across the stack from front‑end to back‑end, lead technical direction, and apply AI to business problems.

The role emphasizes scalable distributed systems, cross‑functional collaboration, mentoring juniors, and deep knowledge of languages like Java, Python, C#, and TypeScript, along with Docker, Kubernetes, and Azure tools.

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