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Manager, Staff Software Engineering

GEICO

Salary not specified
Dec 25, 2025
Dallas, TX, US
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GEICO is seeking an experienced Engineering Manager to build and manage a team of engineers with a deep focus on delivering enterprise-wide products to operate in a highly performant and efficient way, and to help drive the insurance business transformation as the company transitions from a traditional IT model to a tech organization with engineering excellence as its mission.

Requirements

  • Fluency and specialization with Java, GraphQL and SQL
  • Experience with AI and ML technologies including MLflow, VectorDBs, Scikit-learn and Langchain
  • Experience building products of micro-services-oriented architecture and extensible REST APIs and GraphQL
  • Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, security, and scaling)
  • Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework
  • Experience with application monitoring tools and performance assessments
  • In-depth knowledge of CS data structures and algorithms

Responsibilities

  • Work with your Director to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time
  • Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives
  • Understand how requirements and design choices may impact systems across multiple areas
  • Report on your team’s progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery
  • Initiate and support performance evaluation of team members
  • Cultivate a culture that motivates all levels of performers to higher levels of achievement
  • Build and maintain relationships with your team members to support an environment of trust

Other

  • 10+ years of engineering experience
  • 3+ years of hands-on people leadership experience
  • 5+ years of experience building large-scale, mission-critical applications
  • 2+ years of experience building products with AI and ML
  • Ability to excel in a fast-paced, startup-like environment