Sr. Engineer- Policy Configuration

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

About GEICO Policy Engineering 

We're building the future of insurance technology—API-first, AI-powered, and engineered for scale. 

At GEICO, the Policy Engineering teams are on a mission to redefine how insurance policies are built, managed, and evolved. We're designing world-class services that are modular, resilient, and ready to power intelligent automation across the enterprise. 

Position Description 

As a Sr. Engineer on the Policy Configuration team, you’ll be responsible for helping to build complex platforms and tools to enable the business and product teams to design complex insurance products (schema, workflow, rules) powered by a complex configuration-driven architecture. You’ll be helping to pave the way for an AI-first future where increasing levels of automation play a key role in our business systems.  

We’re looking for engineers with deep technical breadth—from distributed systems and cloud-native architectures to data pipelines and service mesh patterns.  

If you're passionate about working with top tier engineering teams and building systems that empower teams and delight customers, we’d love to talk. 

Position Responsibilities 

As a Sr. Engineer you will:  

• Independently deliver complex solutions and provide mentorship and leadership to other members of your team 

• Collaborate with product and business stakeholders to craft solutions to solve our toughest problems 

• Deliver high-scale and high-quality data architecture, especially with an eye towards legacy-to-modern platform transitions. 

• Accountable for the quality, usability, and performance of the solutions 

• Utilize your expertise in designing and developing API’s and microservices using GraphQL, gRPC, Java, Kafka, with a deep understanding of API driven system migration 

• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and NoSQL databases. 

• Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services 

• Be a proactive member of the engineering community contributing to citizenship and collaboration across teams 

Qualifications 

• Experience building the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems 

• Knowledge of ETL, SQL, bitemporal data modeling, and temporal databases. 

• Experience with API-based migration 

• Strong understanding of