Senior Software Engineer - HYBRID

GEICO•Bethesda, MD

3d•$100,000 - $215,000•Hybrid

About The Position

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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. As a Senior Full-Stack Engineer, you will be a key member of the engineering team, collaborating across the organization to design and deliver scalable, high-performance solutions to complex problems. You will drive the adoption of modern engineering practices, cloud-native architectures, platform capabilities, and AI-powered development tools to accelerate delivery while maintaining reliability, security, and operational excellence. In a fast-paced, dynamic environment, you will plan, prioritize, and execute large-scale projects while mentoring junior engineers and contributing to the continuous improvement of engineering practices.

Requirements

Experience designing, architecting, and maintaining scalable distributed systems and full-stack applications.
Building scalable, accessible, and high-performance user experiences using React, TypeScript, modern JavaScript frameworks, and responsive design principles.
Experience building backend services using Java, ASP.NET Core, Spring Boot, or similar frameworks and integrating RESTful APIs and microservices.
Proficiency with SQL and NoSQL databases, including working with structured and nested data formats such as JSON, XML, and YAML.
Experience designing and operating cloud-native applications on Azure, AWS, or GCP.
Experience deploying customer-facing solutions with monitoring, observability, fallback handling, latency considerations, and cost awareness.
5+ years of professional software development experience in large-scale enterprise environments.
4+ years of experience with backend technologies such as .NET, Java, ASP.NET Core, or Spring Boot.
Strong proficiency in front-end technologies, including HTML5, CSS3, JavaScript (ES6+), ReactJS, Redux, and Hooks.
Experience with Python, Go, TypeScript, PowerShell, or similar programming and scripting languages.
Experience with SQL and NoSQL databases, cloud platforms such as Azure, AWS, or GCP, and structured data formats such as JSON, XML, and YAML.
Knowledge of responsive and adaptive design principles.
Bachelor’s or master’s degree in Computer Science, Information Systems, or equivalent education/work experience.

Nice To Haves

Familiarity with AI-assisted engineering tools and practices for improving development velocity, code quality, automated testing, documentation and operational efficiency is preferred.

Responsibilities

Contribute to architectural decisions & establish engineering standards, and drive the successful delivery of complex, business-critical initiatives.
Design, develop, and leverage AI-powered development tools and automation to accelerate software delivery, improve code quality, automate testing, identify and remediate security vulnerabilities, and enhance engineering productivity.
Design, develop, and maintain scalable full-stack applications, including front-end features, backend services with .NET or Java frameworks, and efficient data management using SQL and NoSQL databases.
Implement monitoring, logging, tracing, and alerting solutions to ensure system reliability, performance, and rapid incident resolution.
Design and optimize cloud-native solutions leveraging managed services, event-driven architectures, infrastructure automation, and scalable deployment patterns.
Utilize CI/CD pipelines, infrastructure as code, containerization (Docker), and orchestration (Kubernetes) to automate software delivery and improve operational efficiency.
Work with cross-functional teams throughout the software development lifecycle to ensure seamless integration and delivery.
Drive improvements to engineering productivity through reusable platforms, automation, self-service tooling, and standardized development practices.
Develop and integrate RESTful APIs and microservices for seamless communication between systems.
Conduct design sessions, code reviews, and mentor junior engineers to elevate engineering quality and share best practices.
Publish and maintain documentation for design references, workflows, and runbooks.