GEICO is seeking an experienced and highly skilled Senior Staff Software Engineer to join our AI Assisted Developer Experience team. You will be part of a team of engineers that will develop the discipline, frameworks, tooling, for building software aided by AI, in a highly secure, performant, auditable, and repeatable fashion. Position Responsibilities Platform & Tooling - Design and own the internal developer platform - CI/CD pipelines, local dev environments, build systems, and deployment workflows - with measurable impact on DORA metrics - Evaluate, integrate, and govern AI coding assistants (e.g. GitHub Copilot, Cursor, Claude Code) across engineering teams, including rollout strategy, usage policy, and ROI measurement - Build and maintain AI-powered tooling: code generation scaffolds, intelligent PR reviewers, automated documentation generators, and context-aware onboarding assistants - Define and enforce standards for IDE configuration, linting, formatting, and code generation prompts across polyglot environments Developer Productivity - Identify and eliminate friction in the software development lifecycle through data - measure time-to-first-PR, build times, incident MTTR, and cognitive load - Architect agentic workflows that automate repetitive engineering tasks (boilerplate generation, dependency upgrades, test scaffolding, changelog authoring) - Own the inner dev loop: hot reload, local service mocking, test data generation, and environment parity between local and production - Drive adoption of prompt engineering best practices and RAG-based internal knowledge tooling (runbooks, architecture docs, incident history) Architecture & Standards - Set technical direction for developer-facing APIs, SDKs, and CLI tooling consumed by internal engineering teams - Establish LLM integration patterns - context window management, prompt versioning, output validation, hallucination guardrails - as reusable internal libraries - Define AI-assisted code review standards: what tooling enforces, what humans own, and escalation paths for ambiguous cases - Lead architectural reviews with a DX lens, ensuring new systems are observable, testable, and locally runnable from day one Cross-Functional Leadership - Partner with security and compliance to govern AI tool usage - data residency, secret handling, acceptable use policies for LLM-generated code - Represent developer experience in roadmap planning, translating engineering pain points into prioritized platform investments - Mentor staff and senior engineers on AI-augmented development practices; run internal enablement programs and brown bags - Influence hiring by defining technical bar for DX-adjacent roles and contributing to interview design Measures of Success - Reduction in time-to-production for new services - Increase in developer satisfaction scores (quarterly survey) - Reduction in toil hours per engineer per sprint - Adoption rate and productivity lift from AI tooling Qualifications - 10+ years of software engineering experience, with at least 3 years at Staff level or above owning platform or infrastructure domains - Demonstrated track record of building and shipping internal developer tooling adopted at scale (100+ engineers) - Deep expertise in CI/CD systems (GitHub Actions, ArgoCD, Buildkite, or equivalent) and modern build tooling - Production experience integrating LLM APIs (OpenAI, Anthropic, or similar) into developer workflows - prompt design, output validation, cost management - Strong proficiency in at least two languages across different paradigms (e.g. Go, TypeScript, Rust + Python) - credibility across polyglot engineering orgs - Ability to drive technical consensus across multiple senior stakeholders without direct authority Education Bachelor's degree or master's degree in information technology or related field, or equivalent experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.