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Principal Platform Engineer – Applied AI
Location
California + 4 moreAll locations: California | Nevada | New Jersey | New York | Washington
Posted
136 days ago
Salary
$166.8K - $222.3K / year
Seniority
Lead
Job Description
Principal Platform Engineer – Applied AI
First American
• Drive enterprise-wide technical decisions and deliver organizational transformation through AI-empowerment. • Mentor and develop talent for a team of senior engineers, providing technical leadership. • Design and build AI-enhanced capabilities for platform engineering workflows including intelligent monitoring, automated incident response, and predictive capacity planning. • Establish architecture patterns and best practices for integrating AI into platform services, ensuring solutions are maintainable, observable, and fault-tolerant. • Ship AI solutions that measurably improve operational metrics including MTTR reduction, toil automation, incident prevention, and engineering productivity improvement. • Own end-to-end delivery from problem identification through production deployment, training, and knowledge-transfer. • Work in tandem with our product teams and leaders to identify and implement optimal AI solutions throughout our Platform Engineering and Technical Services groups within the company. • Partner with platform engineering, SRE, and IT teams to identify opportunities where AI can transform their operational capabilities and deliver hands-on implementation improvements. • Design and lead the development of high-quality, secure, and observable solutions. • Create frameworks, libraries, and patterns that accelerate AI adoption across the organization and enable teams to extend solutions independently. • Manage the team in achieving ambitious goals, providing regular feedback, and driving continuous improvement. • Participate in all aspects of our software development lifecycle for AI solutions, including planning, defining requirements, developing, and testing those solutions with the team.
Job Requirements
- 7 + years of platform engineering or DevOps experience with deep expertise in SRE principles, DevOps practices, and operational workflows.
- Proven track record of enhancing platform and IT operations ad capabilities using AI
- Hands-on experience using agentic workflows and MCP server integrations.
- Expert-level experience with at least one major cloud provider (AWS/GC P/Azure) , containerized development (Docker) , and infrastructure-as-code (Terraform, CloudFormation, Ansible).
- Experience driving engineering best practices for high-functioning Platform Engineering teams through effective use of tools and automation.
- Passion and expertise for integration with back-end services and APIs using modern architectures and authentication mechanisms (Oauth).
- A strong understanding of both software engineering and DevOps principles and modern infrastructure operations.
- Ability to build robust, high-scale, generic , and reusable solutions.
- Ability to lead, mentor , and influence Platform and DevOps Engineers to share knowledge and improve quality.
- Ability to unblock yourself and help accelerate the team in achieving their goals.
- Familiarity with deployment and observability strategies that support continuous delivery and high availability in a cloud-native environment.
- An outcome-oriented approach using metrics and data to understand development productivity metrics (e.g., code churn, commit size, test coverage, etc.) that inform areas for continuous improvement.
- Effective verbal and written communication skills, with strong relationship, collaborative, and organizational skills.
Benefits
- medical
- dental
- vision
- 401k
- PTO/paid sick leave
- employee stock purchase plan
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