Infrastructure Automation Engineer

Key Responsibilities

• Automate the Full Kit Lifecycle: Build and maintain Infrastructure-as-Code (IaC) pipelines using Terraform and Ansible to take our fly-pack and facility kits from initial build and configuration through deployment, validation, and teardown. Everything we build must be repeatable, versioned, and documented.
• Codify Virtualization & Compute: Manage and automate our hypervisor platforms, with a primary focus on Proxmox. Ensure provisioning, scaling, and performance tuning are driven entirely by pipelines and configuration management rather than manual GUI clicks.
• Build Show-Day Observability: Design and maintain active monitoring and alerting telemetry (network health, hypervisor performance, storage throughput) for live events so that edge cases and anomalies are surfaced and diagnosed before they ever threaten air.
• Physical Hardware Ownership: Rack, cable, stack, and troubleshoot physical server hardware, enterprise switches, and high-performance storage arrays. Automation starts with hardware you understand and respect at the bare-metal level.
• Support Zero-Failure Execution: Support live event schedules on-site or remotely. Use the automation tooling and pipelines you've built to proactively monitor, rapidly diagnose, and swiftly resolve real-time infrastructure or hypervisor issues under tight production deadlines.

The Ideal Candidate

• You Automate First, But Build Real Things: Your default instinct is to write a script, playbook, or pipeline over applying a manual fix - but you are equally comfortable running clean fiber patches or lifting a 2U server into a road case.
• You Own the Outcome: You don't just identify a problem and pass the ticket down the line. You diagnose the root cause, automate the fix, and document the solution so it never requires human intervention a second time.
• You Dare to Suggest Better: You actively challenge “this is how we've always done it” thinking. If an open-source tool, a pipeline tweak, or an architectural adjustment saves time or budget, you build the business case, design with the team, and ship it.
• You True-Up Your Skills: You don't hide behind acronyms on a resume. You are confident enough in your engineering fundamentals to sit at a terminal and prove your knowledge in a practical environment. AI-assisted coding and automated workflows are core to how you already operate, not a future stretch skill.

Required Technical Qualifications

• Automation & IaC: Hands-on experience with ITerraform and Ansible to repeatedly provision, configure, and tear down environments.
• Scripting Proficiency: Practical experience scripting workflows (Bash, Python, or Typescript) to eliminate repetitive tasks, with a demonstrated comfort using AI-assisted tools to accelerate development.
• Virtualization Mastery: Experience managing hypervisors (Proxmox or enterprise VMware) including hypervisor-to-network integration (mapping VLANs, trunk ports, and bridges to compute nodes).
• Network Fundamentals: Core CCNA-level routing and switching knowledge. Solid understanding of Layer 2/Layer 3 technologies.
• CI/CD & Version Control: Experience using Git-based workflows and at least one CI/CD or pipeline tool (e.g., GitHub Actions, GitLab CI, Jenkins) to deploy and validate infrastructure code changes.

Preferred Technical Qualifications

• Telemetry & Observability: Experience building dashboard environments using Prometheus, Grafana, or similar stacks.
• Containers & Orchestration: Familiarity with Docker, container orchestration, and exposure to GitOps-style deployment patterns.
• Storage & Media Workflows: Familiarity with ZFS, file-sharing protocols (SMB, NFS), advanced storage networking (RDMA, RoCE, iSCSI, cluster file systems), or prior experience in live broadcast television and post-production environments.
• Advanced Networking: Solid understanding of Multi-VRF design, route leaking, Linux networking (bridges, bonds), and OpenVSwitch.
• Overlay Networks: Experience configuring or troubleshooting VXLAN environments.
• Security Connectivity: Practical experience deploying secure VPN tunnels using tools like WireGuard or Tailscale.
• Cloud Familiarity: Working knowledge of a public cloud provider (e.g., AWS) — as a complement to on-prem/hardware expertise, not a substitute for it.
• Industry Context: Prior experience working within broadcast television, live production environments, or post-production facilities.