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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI & Underwriting Platforms - **Company:** Geico Insurance - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Salary:** $110,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), LTE (Telecommunication), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Microsoft Azure, C++ (Programming Language), Cloud Computing, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Structures, Software Design Patterns, DevOps, Distributed Systems, HP Systems Insight Manager, Machine Learning, Performance Tuning, Service-Oriented Architecture, Software Engineering, System Availability, Large Language Models, Grafana, Cloud Migration, Restful APIs, Grpc, Legacy Systems, Golang, Programming Languages - **Published:** August 1, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-staff-software-engineer-ai-underwriting-platforms-hybrid-bethesda-md--95b8aca6-4c4f-4f98-af73-93230609c6e3 ## About the Role * Deep experience with at least one modern programming language (Java, Go, or C++) * Strong background in distributed systems and service-oriented architectures (REST, gRPC) * Hands-on experience designing and building cloud-native systems on AWS, Azure, or GCP * Fluency in DevOps and CI/CD, including infrastructure as code and operational best practices * Advanced understanding of data structures, algorithms, and system design * Proven experience with application monitoring, performance tuning, and observability tools AI & Modern Engineering * Practical experience integrating AI/ML solutions, including LLMs, prompts, and RAG-based approaches * Experience building AI-enabled applications via APIs or embedded solutions * Curiosity and comfort working in an evolving AI-driven engineering landscape Leadership & Collaboration * Ability to lead through influence rather than authority * Strong communication skills with a track record of collaborating across disciplines * Comfort operating in a fast-paced, startup-like environment while delivering enterprise-grade solutions Experience Requirements * 10+ years of professional software engineering experience, including senior-level technical leadership * 8+ years leading architecture and large-scale system initiatives * 4+ years building and operating systems in public cloud environments * 3+ years working on AI/ML-driven products or platforms * Experience contributing to or leveraging open-source frameworks, Algorithms, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Automation, Best Practices, Business Operations, C++ Programming Language, Career Development, Cloud Architecture, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Structures, Design Patterns Programming Methodologies, DevOps, Distributed Computing, Embedded Systems, Engineering, GCP (Good Clinical Practices), Go Programming Language (Golang), High Availability, Java, Leadership, Mentoring, Microsoft Windows Azure, Operating Systems, Performance Analysis, Performance Tuning/Optimization, Product Demonstration, Programming Languages, Public Cloud, REST (Representational State Transfer), Software Engineering, Startup, System Migration, Technical Leadership, Underwriting ## Description You will work at the intersection of cloud-native architecture, distributed systems, and applied AI, partnering closely with underwriting operations, product leaders, and senior engineers to eliminate manual processes and unlock smarter, faster decision-making. What You'll Do * Lead the design and delivery of large-scale, production-ready underwriting platforms, including AI and LLM-powered capabilities * Architect highly available, secure, and scalable services that support enterprise-level workloads * Drive end-to-end ownership of systems-from concept and architecture through production and long-term evolution * Provide technical leadership across multiple teams, influencing architecture, design patterns, and engineering standards * Mentor and grow senior and mid-level engineers, setting a high bar for engineering excellence * Partner closely with Product, Operations, and Engineering Leadership to deliver measurable business outcomes * Modernize legacy systems through cloud migration, automation, and digital transformation initiatives * Champion best practices in observability, performance, reliability, and security * Communicate complex technical concepts clearly to both technical and non-technical stakeholders ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Got AI ideas but no money? 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