Platform Automation Engineer Jobs in Phoenix, AZ

• 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

• 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.

Core Competencies

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

ATS Optimization Keywords

Hard Skills

• Software Engineering
• Backend Engineering
• Automated VM Deployments (VMware)
• Automated Configuration Management (Ansible)
• LLM-Backed Scripting
• Agentic AI Systems
• Code Quality Standards
• Tech Debt Reduction
• AI-Augmented Refactoring
• Orchestrated Environments (Kubernetes)

Soft Skills

• Excellent Communication
• Collaboration
• Mentoring
• Leadership
• Team Building

Industry Keywords

• Platform Automation
• DevOps
• High-Scale Production Systems
• Incident Management
• Disaster Recovery

Tools & Technologies

• Terraform
• Ansible
• Docker
• Podman
• Kubernetes
• AWS
• Observability Platforms
• MCP Servers