Jobs at GEICO

Design, build, and scale resilient, distributed underwriting systems; collaborate cross-functionally; implement APIs and cloud-native solutions; apply DevOps practices, container orchestration, and database technologies; drive architecture, automation, and AI-enabled underwriting improvements.

Lead design and delivery of scalable full‑stack, cloud‑native applications. Drive architecture, AI‑assisted tooling, DevOps and observability practices, implement microservices/APIs, mentor engineers, and publish documentation and runbooks to ensure reliability and operational excellence.

Designs, develops, and maintains scalable distributed systems and full-stack applications using ReactJS and .NET or Java. Builds RESTful APIs and microservices, manages SQL and NoSQL data, and applies cloud, Docker, Kubernetes, and CI/CD practices. Collaborates with stakeholders and cross-functional teams, leads design reviews and code reviews, mentors junior engineers, documents systems, and supports critical applications through on-call rotations.

Designs customer-centered digital experiences, functional prototypes, user flows, wireframes, journey maps, and interface specifications. Collaborates with product, engineering, business, and research teams to define, test, and deliver solutions across responsive web and mobile platforms. Applies human-centered design, user research, usability testing, AI-assisted workflows, and responsible AI interaction patterns while facilitating workshops and supporting product prioritization.

Designs, builds, and operates production-grade generative AI systems, including intelligent automation, AI agents, document intelligence, decision support, and retrieval-augmented workflows. The role architects scalable and resilient services, integrates vector databases and knowledge graphs, evaluates AI performance, establishes safety and governance practices, collaborates across teams, and mentors engineers developing AI and agentic workflow capabilities.

Lead enterprise change and approval management strategy while driving technical initiatives across multiple teams. Design and develop resilient, cloud-native platforms using Go, Python, Java, containers, databases, and Azure. Guide architecture, reliability, observability, CI/CD, and infrastructure automation. Participate in on-call rotations, incident response, troubleshooting, root-cause analysis, and post-incident reviews. Mentor engineers, influence executives, collaborate with stakeholders, and improve operational efficiency.

Staff Engineer responsible for architecting and delivering scalable, resilient cloud-native communications platforms for claims workflows. Builds Java microservices, REST APIs, event-driven systems, web applications, and AI-assisted software solutions. Leads architecture, observability, reliability, security, modernization, and operational excellence while mentoring engineers and influencing technical direction across teams.

Leads enterprise cybersecurity governance and assurance, including policies, standards, controls, risk management, regulatory compliance, audits, metrics, remediation, and continuous monitoring. Partners with cybersecurity, technology, legal, privacy, risk, engineering, and audit teams to improve control effectiveness and executive visibility. Manages governance transformation, multi-cloud compliance, strategic planning, and a high-performing team while advising senior leaders and driving cross-functional accountability.

Leads enterprise technical strategy and roadmap execution while designing, building, and enhancing scalable software systems. Provides technical leadership across engineering teams, drives architecture and cloud adoption, ensures solution quality and performance, mentors engineers, and improves development practices. The role requires deep Java and software architecture expertise, experience with microservices, DevOps, Azure, cloud infrastructure, security protocols, monitoring, and large-scale system design.

Leads strategic planning, governance, execution, financial oversight, risk management, reporting, and stakeholder engagement for GEICO’s cybersecurity portfolio. Establishes portfolio processes, tracks KPIs and ROI, manages dependencies and budgets, and presents performance insights to senior leadership. Requires substantial cybersecurity, technology portfolio, agile, strategic planning, and partner-management experience in regulated industries.

Designs and builds scalable, resilient distributed systems and applications using .NET, C#, microservices, REST APIs, cloud platforms, containers, and DevOps practices. Responsibilities include architecture, coding, code reviews, reusable components, monitoring, continuous delivery, infrastructure as code, cross-functional collaboration, mentoring engineers, and improving engineering processes.

Leads software engineering for GEICO’s partner integration platform, including technical roadmap execution, scalable distributed system development, automated testing, CI/CD, production support, and incident management. Collaborates with product managers, business partners, and engineering teams to solve complex problems, improve platform capabilities, and enable continuous delivery. The role also contributes feature code, reviews pull requests, manages infrastructure automation, and supports high-volume, highly available production services.

Lead strategy and technical execution of vulnerability management, offensive security, and AI-augmented defenses. Own full VM lifecycle, integrate scanning and asset systems, automate remediation, generate security insights, define KPIs/SLAs, advise executives, and mentor engineers to improve organizational security posture and compliance.

Designs and develops infrastructure automation solutions using NetBox, OpenStack, and cloud platforms such as Azure, AWS, and GCP. The role requires extensive software development, systems architecture, open-source framework, and technical leadership experience, along with a bachelor's degree or equivalent experience.

Build and maintain infrastructure automation tools for GEICO’s private OpenStack cloud, network, and hardware fleet. Responsibilities include automating OS and firmware updates, server testing, fleet health monitoring, lifecycle management, and remote hardware management. The role uses Infrastructure as Code and programming languages such as Python, Go, and Rust, while collaborating with cloud, storage, and hybrid-cloud teams to improve reliability, security, and operational efficiency.

Leads enterprise software architecture, technical strategy, and roadmap execution across multiple domains. Designs scalable, reliable systems and platforms using modern programming languages, cloud services, microservices, databases, containers, and DevOps practices. Partners with product and engineering teams, mentors technical staff, influences executives, improves engineering processes, evaluates performance and costs, and drives continuous learning. The role requires extensive software development and architecture experience, strong cloud and Azure expertise, and the ability to transfer research into production.

Lead identity security engineering strategy across user, development, and production environments. Guide IAM architecture, privileged access management, threat detection, adversarial testing, compliance automation, and security-control validation. Mentor engineers, define identity security roadmaps, build automation and proofs of concept, collaborate with business and security leaders, and modernize protective controls using offensive and defensive security expertise.

Leads enterprise architecture, technical strategy, and evolution of GEICO’s Generative AI, virtual agent, and agentic workflow platforms. Designs scalable systems for retrieval, knowledge management, prompt and context management, orchestration, semantic search, and action execution. Evaluates technologies, establishes GenAI application standards, guides production deployments, influences business strategy, mentors senior engineers, and serves as a final technical authority across multiple teams and business domains.

The Staff Engineer will lead the development of capacity engineering solutions, ensuring efficient infrastructure management and proactive planning in collaboration with various teams.

Lead design, development, and deployment of scalable generative AI/LLM agent solutions. Collaborate cross-functionally, integrate with AI platform, choose tools, ensure reliability, mentor engineers, and drive roadmap and stakeholder alignment.