Staff Software Engineer – AI-Native Platform

First American

. Provide technical leadership across multiple engineering teams .

Posted 9/16/2026full-timeRemote • California • United StatesLead💰 $148,600 - $198,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production AI systems, including LLM-powered applications and cloud-native distributed systems. Proven ability to lead technical direction, establish engineering standards, and mentor senior engineers while driving cross-organization technical strategy.

Highest-signal resume keywords

Technical LeadershipCloud-Native Distributed SystemsAI Development WorkflowsAPIs and Event-Driven ArchitecturesEngineering Standards and Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureProduction Software SystemsAI Systems DesignCloud InfrastructureReliability EngineeringPlatform DesignC# (.NET)PythonTypeScriptGo

Soft Skills

Excellent Communication SkillsMentoring and CoachingSystems ThinkingOutcome-Oriented Mindset

Tools & Technologies

KubernetesDockerTerraformCDKOpenTelemetryPrometheusGrafanaDatadogCursorClaude Code

Industry Keywords

AI-Powered ProductsOperational ExcellenceObservabilityGovernanceCost ManagementLatency OptimizationEnterprise AI PlatformsCloud MigrationRegulated Industries

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsDockerGrafanaJavaKubernetesPrometheusPythonTerraformTypeScriptGo.NET

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k)
PTO/paid sick leave
Employee stock purchase plan
Inclusive, people-first workplace culture
Equal opportunity employment