Reducto
Forward Deployed Engineer, Infrastructure Specialist
$200K–$300K
San Francisco Office · Full-time · Posted Nov 3, 2026
- Experience
- 5+ years; no alternatives stated.
About the job
Leads end-to-end deployment, operation, and troubleshooting of Reducto within customer-controlled infrastructure, then turns deployment learnings into repeatable patterns and automation.
What you'll do
- Plan, configure, test, and roll out deployments with customer infrastructure, security, and platform teams.
- Build monitoring and telemetry, resolve infrastructure issues, and own incident response for customer deployments.
- Create reusable deployment patterns, runbooks, and automation.
What they ask for
- 5+ years of hands-on production infrastructure operations experience, including meaningful time deploying software into environments not fully controlled.
- Comfort with Python or similar languages and strong skills across cloud platforms, container orchestration, networking, and storage.
- Clear communication with external engineering teams and ownership of customer problems end-to-end.
Nice to have
- Experience deploying into regulated environments or using Replicated/KOTS, Helm, or similar enterprise distribution tooling.
- Experience with GPU infrastructure, model serving, or AI/ML workload deployment on customer-controlled hardware.
Pay
$200K – $300K USD base salary
Tools
Python, Kubernetes, Replicated/KOTS, Helm
AI focus
Supports deployment of in-house ML models and AI/ML workloads on customer-controlled infrastructure.
Model-written summary · the original posting is authoritative