Job Description:

Overview

Rogue Fitness is accelerating AI across manufacturing, warehousing, and e‑commerce and needs a hands-on leader to build the MLOps platform, enhance SRE, and keep our hybrid infrastructure state‑of‑the‑art. You’ll own everything from GPU clusters and data pipelines to uptime, security, and factory networks, partnering with Technology and Solutions Directors to deploy AI at speed. Your mandate: deliver measurable gains in throughput, cost savings, and customer experience to keep Rogue ahead of the pack.

Responsibilities

AI Infrastructure:

Build and lead the cross‑functional team that designs, scales, and operates Rogue’s production MLOps platform—covering data pipelines, model versioning, automated deployments, and real‑time monitoring across on‑prem and cloud GPU clusters

Own reliability, performance, and cost management for all AI compute and storage—capacity planning, incident response, and continuous optimization to meet SLA/SLO targets

Site Reliability:

Direct the SRE organization that safeguards roguefitness.com and all internal apps—defining SLIs/SLOs, automating CI/CD pipelines, and ensuring release velocity without sacrificing stability

Drive proactive reliability engineering: establish unified observability, conduct capacity and chaos testing, and lead rapid incident response to keep MTTR low and uptime above targets

Own continuous improvement of performance, scalability, and cost efficiency—partnering with product and infrastructure teams to embed reliability best practices from design through deployment

Traditional Infrastructure:

Oversee end‑to‑end operations of on‑premises and cloud infrastructure—Windows/Linux servers, storage, backups, DR, networks, and collaboration platforms—managed through infrastructure‑as‑code and real‑time dashboards

Lead lifecycle planning and execution for upgrades, migrations, and capacity expansions, enforcing disciplined change control, budget stewardship, and clear communication to stakeholders

Establish and monitor service performance and security standards (availability, latency, compliance) while mentoring engineering staff and aligning roadmaps with business objectives

Required Qualifications

Master’s degree in Computer Science, Electrical Engineering, or a related technical field

10+ yrs experience in hybrid infrastructure with 3+ yrs as a manager

4+ years running production MLOps pipelines

4+ years leading SRE/DevOps practices: CI/CD, metrics, rapid rollbacks

Hands-on with Azure/GCP, Windows/AD, Google Workspace, virtualization, Terraform/Bicep, modern observability

Networking & security team lead: VLANs, firewalls, Zero‑Trust, incident response

Preferred Qualifications

Managed ML Ops and SRE teams for highly dynamic companies

Experience in online retail, manufacturing, and/or warehousing companies

OT experience: Modbus, segmented VLANs, factory networks

Tuned edge‑security services like Cloudflare, Google Cloud Armor, or AWS WAF

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.