Principal Platform Engineer, AI – Automation

Ticketmaster

Principal Platform Engineer focusing on AI-driven automation and operational excellence at Ticketmaster. Responsible for high-quality software engineering and leveraging modern AI tools.

Posted 7/31/2026full-timePhoenix • Arizona • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering with a focus on automation, AI developer tools, and infrastructure-as-code practices. Proven ability to mentor teams, drive adoption of modern technologies, and enhance operational workflows for scalable and resilient systems.

Highest-signal resume keywords

Python ScriptingInfrastructure-As-Code (Terraform, Ansible)AI Developer Tools (Claude Code, GitHub Copilot, Cursor)Containerization (Docker, Podman)Site Reliability Engineering (SRE)

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend EngineeringAutomated VM Deployments (VMware)Automated Configuration Management (Ansible)LLM-Backed ScriptingAgentic AI SystemsCode Quality StandardsTech Debt ReductionAI-Augmented RefactoringOrchestrated Environments (Kubernetes)

Soft Skills

Excellent CommunicationCollaborationMentoringLeadershipTeam Building

Tools & Technologies

TerraformAnsibleDockerPodmanKubernetesAWSObservability PlatformsMCP Servers

Industry Keywords

Platform AutomationDevOpsHigh-Scale Production SystemsIncident ManagementDisaster Recovery

Tech Stack

Tools & technologies

AnsibleAWSDockerKubernetesPythonTerraformVMware

About the role

Key responsibilities & impact

Write high-quality, maintainable code that accelerates platform automation and reduces tech debt across Global Host Platform systems.
Build the internal tools that keep our systems scalable and resilient at global scale — engineered to hold up under the peak load of high-demand onsales.
Use scripting (Python, Bash) and infrastructure-as-code (Terraform, Ansible) to simplify and standardize operational workflows.
Lead technical deep-dives to spot automation opportunities and tackle long-standing inefficiencies.
Drive adoption of AI developer tools — e.g. Claude Code, GitHub Copilot, Cursor, Amazon Q, and local models via Ollama — across the team.
Design and champion agentic AI workflows that plan, reason, and act — building frameworks for autonomous task execution and tool chaining, including via the Model Context Protocol (MCP).
Define and evolve our internal patterns for LLM-backed development, spec-driven workflows, and AI-augmented refactoring — with attention to code quality, security, and human review.
Define and evangelize internal standards for platform automation, SRE practice, and code quality.
Mentor engineers and spread knowledge across the team, especially on getting real leverage from modern AI tooling.
Partner with reliability and platform engineers to deliver automation that sticks — measurable impact over buzzwords.
Lead in-person team trainings, gatherings, and hackathons on-site monthly, and travel quarterly.

Requirements

What you’ll need

8+ years of hands-on software engineering experience; systems or backend engineering preferred.
Hands-on experience with AI developer tools (Claude Code, GitHub Copilot, Cursor, etc.), LLM-backed scripting, and agentic AI systems capable of planning, tool use, and autonomous task execution in engineering workflows.
Agentic AI in both our developer processes and our production services is a must — you build with it day-to-day and you run it where reliability actually counts.
Strong command of multiple scripting languages and infrastructure-as-code tooling.
Experience with automated VM deployments (VMware) and automated configuration management (Ansible).
Containerizing software and tools (Docker, Podman) and deploying them in orchestrated environments (Kubernetes).
Experience in SRE, DevOps, or platform engineering — or the curiosity and track record to ramp up fast.
A genuine drive to reduce tech debt, enable teammates, and automate the annoying stuff.
Ability to lead a team in blending software engineering best practices with fast-moving AI capabilities — and to keep that blend current as both continue to evolve.
A habit of keeping pace with a market that moves weekly, not yearly — and the instinct to lead and teach others so the whole team stays current, not just you.
Excellent communication and collaboration skills; you enjoy being a multiplier.
Nice to have: Background in high-scale production systems (AWS, observability platforms, etc.).
Nice to have: Experience building or operating MCP servers, or integrating AI agents with internal tooling.
Nice to have: Experience introducing new development practices or tooling into an existing engineering org.
Nice to have: Prior involvement in incident management, disaster recovery, or reliability strategy.

Benefits

Comp & perks

Medical, vision, dental and mental health benefits for you and your family
Free concert tickets, generous paid time off including paid holidays, sick time, and personal days
401(k) program with company match, stock reimbursement program
New parent programs including caregiver leave, plus fertility, adoption, foster, or surrogacy support
Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment
Volunteer time off, crowdfunding match