Senior Infrastructure Engineer (DevOps / Production / AWS), Ferra

We process large-scale construction drawing PDFs, run computer vision + LLM pipelines, and generate structured steel graphs, takeoffs, and export-ready models.Our System IncludesMulti-stage ML pipelines (CV + LLM)Asynchronous job processing (SQS-driven workflows)Large PDF ingestion and document graph processingVector-native parsing and algorithmic geometry systemsGraph storage + export servicesRole OverviewWe are hiring a Senior Infrastructure Engineer to own uptime, reliability, latency, and scalability across our entire AWS environment.You will ensure our AI/ML pipelines run reliably at scale — without cloud outages, timeouts, networking bottlenecks, or production instability slowing down our algorithm team.You will build and maintain production-grade AWS architecture that supports:Large PDF ingestion (100–500+ sheets)Computer vision pipelinesLLM inference workflowsDistributed job queuesHigh-volume asynchronous processingYour mission is to enable the frontend teams to move fast without worrying about infrastructure.What You Will OwnKeep things running.You own uptime (99.9%+), observability, incident response, and root cause analysis. You'll make the architectural calls, not just maintain what's there.Make ML pipelines reliable.The core workloads are CV, LLM inference, and long-running batch jobs.