Senior AI-Driven Platform Automation Engineer

Job Summary:

JOB DESCRIPTION – Senior AI-Driven Platform Automation Engineer

Location: Remote, US

Division: Ticketmaster US

Line Manager: Director, Software Engineering

Contract Terms: Permanent, fulltime

THE TEAM

The Core Concerts division is responsible for the foundational systems powering most of Ticketmaster’s concert sales and venue entry operations. Our team is focused on reliability, scalability, and modernization—ensuring fans have seamless access to live events while enabling our engineers to innovate at scale.

THE JOB

We are looking for a Senior AI-Driven Platform Automation Engineer to join our high-impact Platform Automation and SRE group within the Core Concerts division at Ticketmaster. This role is ideal for a strong software engineer ready to accelerate tech debt reduction, enable teams with automation and AI tools, and raise the bar for operational excellence.

You’ll work across the systems powering some of the most business-critical parts of live entertainment. You’ll contribute hands-on code, create scalable automation, and guide the adoption of AI-driven software development patterns that enable the team to move faster and build smarter. This is a unique opportunity to shape how a lean, high-leverage engineering team uses automation and AI to deliver real impact.

WHAT YOU WILL BE DOING

Software Engineering & Automation

• 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.

AI-Driven Development

• 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.
   

Team Enablement & Standards

• 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.

WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS)

• 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.
• Passion for reducing tech debt, enabling teammates, and building tools that automate the annoying stuff.
• 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.

Nice to have:

• 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.
   

YOU (BEHAVIOURAL SKILLS)

• Work well across teams – You communicate clearly, share context, and collaborate effectively with engineers across disciplines to get things done.
• Take ownership – You don’t wait for permission to fix what’s broken. You identify problems, propose solutions, and follow through.
• Think in systems – You design for scale, reliability, and maintainability. You simplify where possible and automate where it counts.
• Move with intent – You prioritize impact over perfection. You ship improvements iteratively and measure results.
• Push tooling forward – You adopt and advocate for tools that make engineering faster and smarter—especially AI-driven ones.
• Raise the bar – You care about