Senior AI-Driven Platform Automation Engineer
| Company | Live Nation Entertainment |
|---|---|
| Location | California, USA, Arizona, USA |
| Salary | $136000 – $170000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of hands-on software engineering experience; systems or backend engineering preferred.
- Hands-on experience with AI developer tools (GitHub Copilot, Cursor, etc), LLM-backed scripting, automation frameworks, and agentic AI systems capable of planning, tool use, and autonomous task execution in engineering workflows.
- Strong knowledge of at least one scripting language (Python, Bash) and exposure to infrastructure tooling (e.g., Terraform, CI/CD pipelines).
- Experience with automated VM deployments (VMware) and automated configuration management (Ansible).
- Experience in SRE, DevOps, or platform engineering environments—or the curiosity to quickly ramp up in that domain.
- Excellent communication and collaboration skills; you enjoy being a multiplier.
Responsibilities
- Write high-quality, maintainable code to accelerate platform automation and reduce tech debt across Core Concerts systems.
- Use scripting (Python, Bash, etc.) and infrastructure-as-code (Terraform, Ansible, etc.) to simplify operational workflows.
- Lead technical deep-dives to identify automation opportunities and tackle long-standing inefficiencies.
- Drive adoption of AI developer tools like GitHub Copilot, Ollama, Amazon Q, etc. across the team.
- Champion the use of agentic AI systems that plan, reason, and act—building frameworks that enable autonomous task execution and tool chaining.
- Help define and evolve our internal patterns for LLM-backed development and AI-augmented refactoring workflows.
- Help define and evangelize internal standards for platform automation, SRE practices, and code quality.
- Mentor engineers and share knowledge across the team—especially in accelerating output using modern AI tooling.
- Collaborate closely with reliability and platform engineers to deliver automation that sticks—measurable impact over buzzwords.
Preferred Qualifications
- Experience containerizing software and tools (Docker, Podman) and deploying them in orchestrated environments.
- Background in high-scale production systems (AWS, Kubernetes, observability platforms, etc.).
- Experience introducing new development practices or tooling into an existing engineering org.
- Prior involvement in incident management, disaster recovery, or reliability strategy.