Engineer II

GEICO GEICO · Insurance · Bethesda, MD

Engineer II role at GEICO Claims Technology focusing on building high-performance, low-latency platforms and applications using AI tools. The role involves leveraging AI tools for system design and development, collaborating across the software lifecycle, and utilizing various programming languages and cloud services. The position is part of a team transforming Insurtech offerings.

What you'd actually do

  1. Leverage the latest AI tools to scope, design, build, and maintain scalable, resilient distributed systems
  2. Engage in cross-functional collaboration throughout the entire software lifecycle
  3. Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
  4. Utilize programming languages like Java, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
  5. Consistently share best practices and improve processes within and across teams

Skills

Required

  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
  • Experience using frontier AI tools to iteratively design, code, and enhance complex, enterprise-scale applications and services
  • In-depth knowledge of CS data structures and algorithms
  • Understanding of existing Operational Portals such as Azure Portal
  • Understanding of HTML-5, JavaScript/TypeScript, XML, and JSON
  • Understanding of micro-services oriented architecture and extensible REST APIs
  • Understanding of monitoring tools
  • Understanding of Azure PaaS and IaaS services
  • Understanding of security protocols and products such as: Active Directory, Windows Authentication, SAML, OAuth
  • Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
  • Understanding of DevOps Concepts, Cloud Architecture, and Azure DevOps Operational Framework
  • Analysis and estimation skills
  • Strong problem-solving ability
  • Strong oral and written communication skills
  • Ability to excel in a fast-paced, startup-like environment
  • 2+ years of non-internship professional software development experience within a Java framework (J2EE, web containers and Java)
  • 2+ years of experience with architecture and design
  • 2+ years of experience with AWS, GCP, Azure, or another cloud service
  • 2+ years of experience in open-source frameworks
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

What the JD emphasized

  • high-performance, low-latency platforms
  • AI tools

Other signals

  • Leverage the latest AI tools to scope, design, build, and maintain scalable, resilient distributed systems
  • Experience using frontier AI tools to iteratively design, code, and enhance complex, enterprise-scale applications and services