Sr. Staff Engineer - Remote

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: 

We are developing a cutting-edge, AI-powered marketing automation platform exclusively for internal use, aimed at transforming how we engage with our customers. This platform will empower our marketing teams with smarter, more personalized, and efficient tools, allowing them to create seamless, data-driven customer journeys across multiple channels. As a Senior Staff Engineer, you will play a critical role in the architecture, design, and development of this platform, bringing advanced AI and machine learning techniques into the heart of our marketing processes.

Our Senior Staff Engineer is a key member of the engineering staff working on Web solutions ensuring that we provide friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between, and a proven background in JavaScript, ReactJS, Java, Microservices, Containers (Kubernetes), and design, implementing, and maintaining front-end UIs.  

Position Responsibilities   

​​As a Senior Staff Engineer, you will:   

• ​Scope, design, and build scalable, resilient distributed systems   
• ​Build product definition and leverage your technical skills to drive towards the right solution   
• ​Engage in cross-functional collaboration throughout the entire software lifecycle   
• ​Lead design sessions and code reviews with peers to elevate the quality of engineering across the organization   
• ​Define, create, and support reusable application components/patterns from a business and technology perspective   
• ​​Utilize programming languages like JavaScript, TypeScript, Java, C#, Python, and Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level Java application design under minimal direction  
• Utilizes developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level Mobile/Web/UI design, implementation, and maintenance activities under minimal direction   
• ​Mentor other engineers    
• ​Consistently share best practices and improve processes within and across teams   

Qualifications: 

• ​​​​Experience with design, develop and deploy machine learning solutions to solve complex problems and integrate them into software systems
• Experience building MarTech applications, including implementation solution design
• ​Fluency with Java, Phthon, React, Redux, JavaScript/TypeScript, CSS, JSON, RESTful Web Services, NodeJS, Cassandra and Event Driven Architectures   
• ​Strong Cloud (AWS, GCP, Azure, etc.) platform knowledge   
• ​Familiar with Project Management and work item management tools such as Azure DevOps, JIRA   
• ​Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap   
• ​Experience partnering with engineering teams and transferring research to production   
• ​​Experience with continuous delivery and infrastructure as code   
• ​In-depth knowledge of CS data structures and algorithms   
• ​Experience solving analytical problems with quantitative approaches    
• ​Ability to excel in a fast-paced, startup-like environment   
• ​Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)   
• ​Fluency and Specialization with modern languages such as Java, Python including object-oriented design   
• ​Experience with Micro-services-oriented architecture and extensible REST APIs   
• ​Experience with AI/ML and data driven integration with backend