First American

Compensation

Full Description

Job Description: • Provide technical leadership across multiple engineering teams • Drive cross-organization technical strategy and lead initiatives spanning teams, products, and domains • Define architectural direction and guide long-term technical investments • Navigate ambiguity, resolve competing priorities, and build stakeholder consensus • Design and evolve AI development practices and help create AI-powered products • Define architecture for large-scale distributed systems spanning services, domains, and business capabilities • Drive consistency across APIs, event-driven systems, cloud infrastructure, reliability, security, observability, and operational excellence • Establish engineering standards and lead architectural reviews • Champion AI-assisted development, automated testing, observability, continuous delivery, and platform engineering • Mentor senior engineers and technical leads through coaching and design mentorship • Lead initiatives improving reliability, resiliency, security, and operational maturity • Define patterns for observability, production diagnostics, AI evaluation, latency budgets, cost optimization, incident response, resiliency, and governance • Partner with engineering leadership, product management, solution architecture, security, platform engineering, infrastructure, and AI practitioners Requirements: • 8+ years of experience designing and building production software systems, including significant experience leading large-scale technical initiatives • Experience driving architecture across multiple teams, services, or business domains • Deep experience building cloud-native distributed systems • Experience designing and operating production AI systems, including LLM-powered applications and agentic workflows • Experience creating reusable engineering platforms, frameworks, libraries, or shared infrastructure adopted across multiple teams • Expertise in APIs, event-driven architectures, and highly available distributed systems • Experience establishing engineering standards, architectural patterns, and operational best practices • Experience leading technical direction through influence rather than direct management • Understanding of AI operational concerns including evaluation, model selection, latency optimization, cost management, observability, governance, and safety • Experience designing AI development workflows using tools such as Cursor, Claude Code, GitHub Copilot, or similar • Strong understanding of software architecture, cloud infrastructure, reliability engineering, and platform design • Excellent communication skills with technical and non-technical audiences • Ability to mentor senior engineers and elevate engineering organizations • Strong systems thinking and outcome-oriented mindset • Ideally, experience with enterprise AI platforms such as OpenAI, Azure OpenAI, Anthropic, and Databricks • Ideally, experience with C# (.NET), Python, TypeScript, Go, Java, or similar languages • Ideally, experience with Kubernetes, Docker, Terraform, CDK, OpenTelemetry, Prometheus, Grafana, Datadog, platform modernization, cloud migration, or regulated industries Benefits: • Medical insurance • Dental insurance • Vision insurance • 401(k) • PTO/paid sick leave • Employee stock purchase plan • Inclusive, people-first workplace culture • Equal opportunity employment