Staff Engineer - Java (API/Software Development/Microservices)

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.

Position Description 
 
Our Staff Engineer works with our Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap modernizing our servicing organization with API first design. The ideal candidate is a self-starter that has deep technical expertise in their domain. 
 
Position Responsibilities 
 
As a Staff Engineer, you will: 

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise 

• Collaborate across team members and across the tech organization to solve our toughest problems 

• Deliver High-Quality services and software for a variety of domains 

• 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, Python, Kafka, with a deep understanding of API first design 

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

• Lead and model AI‑first practices, including the responsible use of AI productivity tools and AI‑enabled service capabilities, to modernize enterprise platforms and elevate engineering effectiveness

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

• Work on End-to-End solutions that may span front-end through API tiers and Back-End domain services.  

• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives 

Qualifications 

• Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap 

• Experience partnering with engineering teams and transferring research to production 

• Proven expertise in API first engineering approaches, service orchestration, event driven architecture and real-time APIs including federated graphQL and gRPC implementations. 

• Experience designing and delivering enterprise services using AI‑first principles, including hands‑on use of AI productivity tools and applied AI technologies to improve development efficiency and system capabilities

• Proven experience designing and delivering highly-resilient event-driven and messaging based solutions at scale with minimal latency.  

• Deep hands-on experience in building complex SAAS systems in large scale business focused systems, with great knowledge on Docker and Kubernetes 

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