Senior Staff Software Engineer - Developer Experience

GEICO • Palo Alto, CA

1d • $115,000 - $260,000 • Remote

About The Position

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.

Requirements

• 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
• Bachelor's degree or master's degree in information technology or related field, or equivalent experience

Responsibilities

• 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
• 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)
• 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
• 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

Benefits

• 401K savings plan vested from day one that offers a 6% match
• performance and recognition-based incentives
• tuition assistance
• mental healthcare
• fertility and adoption assistance
• workplace flexibility
• GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree