Staff Software Engineer

GEICO•Bethesda, MD

10d

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.