> Markdown version of [/jobs/ext/4565269-staff-software-engineer](https://www.wearedevelopers.com/jobs/ext/4565269-staff-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Software Engineer

- **Company:** Geico Insurance
- **Location:** Renton, WA, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Automation of Tests, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Continuous Integration, Cursor, DevOps, Programming Tools, Distributed Systems, Machine Learning, Open Source Technology, Systems Development Life Cycle, Software Engineering, Spring Cloud, Retrieval-Augmented Generation, Spring-boot, Generative AI, Containerization, Kubernetes, Information Technology, Claude, Restful APIs, Docker, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-renton-wa--60fe3117-b612-44bb-b6b3-a92716d173f0

## About the Role

Software Engineering, Java, Software Engineering, MCP - Microsoft Certified Professional, Microservices, Programming Tools, Mentoring, Productivity Management, Artificial Intelligence (AI), Scalable System Development, We are seeking an accomplished Staff Software Engineer with a proven track record in Java development, extensive experience with Spring Boot, and expertise in designing and maintaining microservice-based architectures. The ideal candidate will also bring direct, hands-on experience with Artificial Intelligence technologies such as RAG, MCP, Agent Skills, and the end-to-end delivery of Generative AI applications. We require experience in leveraging AI-assisted development tools such as Claude, Cursor, Codex, or similar platforms to improve productivity. You will play a pivotal role in shaping our software platforms, driving innovation, and mentoring the next generation of engineers., * Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

 * 10+ years of professional experience building maintainable, scalable, and high-performance systems in Java.
 * Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices.
 * Deep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks.
 * Extensive experience in designing and deploying distributed systems and microservice-based architectures.
 * Demonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCP.
 * Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is required.
 * Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns.
 * Proficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
 * Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observability.
 * Excellent communication skills, a collaborative mindset, and experience mentoring engineers.

Preferred Qualifications

 * Experience with Temporal (workflow orchestration) and Spring AI (artificial intelligence extensions for Spring).
 * Open-source or community contributions in AI/Java/microservices/cloud tools.

## Description

* Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x).
 * Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprints.
 * Build and integrate AI-powered features, focusing on Generative AI solutions.
 * Partner with ML and Data Science teams to utilize AI models and support cutting-edge use cases.
 * Provide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOps.
 * Review code, coach engineers, and foster an inclusive, learning-rich environment.
 * Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation.