STACK Construction Technologies · 1 day ago
Site Reliability Engineer (SRE) — AI Training & Inference Infrastructure
United States
Full-time
Remote
Senior Level
5+ years expSTACK Construction Technologies builds software that helps teams plan, build, and operate with clarity and speed. They are seeking a Site Reliability Engineer to own reliability for their model training and inference platforms, focusing on operating and evolving GPU-enabled clusters and improving developer experience for AI workloads.
ConstructionReal EstateSoftware
Responsibilities
Build and operate AI compute platforms
Design, provision, and scale GPU-backed clusters for training and inference (Kubernetes-based and/or HPC-style schedulers)
Own cluster lifecycle management: provisioning, bootstrapping, upgrades, autoscaling/capacity scaling, and decommissioning
Build reliable abstractions so training jobs can run across multiple clusters/environments with minimal friction
Define and track SLIs/SLOs for training and inference systems (job success rate, queue latency, throughput, tail latency, GPU utilization, etc.)
Lead incident response and root-cause analysis; drive permanent fixes and “never again” automation
Improve recovery and maintenance workflows (e.g., reducing restart/upgrade times; safer rollouts)
Implement end-to-end monitoring across compute, networking, storage, and accelerators
Build dashboards, alerting, and anomaly detection that catch issues early—before they derail long runs
Tune performance and cost: GPU utilization, scheduling efficiency, I/O bottlenecks, and network hotspots
Partner with vendors and internal stakeholders on firmware/driver alignment, and node health
Provide paved paths for training: reproducible environments, job templates, secure secrets, artifact storage, and dataset access patterns
Collaborate closely with ML researchers/engineers to understand workload needs and remove infrastructure bottlenecks
Qualification
Required
5+ years building/operating production infrastructure as an SRE, infrastructure engineer, or systems engineer
Strong Kubernetes experience (cluster operations, upgrades, networking, storage, and troubleshooting)
Proficiency in at least one programming/scripting language (Python, Go, etc.) for automation and tooling
Experience with Infrastructure-as-Code (Terraform preferred) and CI/CD for infra or platform components
Solid Linux/Unix fundamentals (performance, debugging, kernel/userland tooling)
Strong operational mindset: you care about reliability, safe change management, and measurable outcomes
Company
STACK Construction Technologies
Stack Construction Technologies is a construction company.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$29.3MKey Investors
Level Equity ManagementCincyTech
2025-08-14Series Unknown· $3M
2022-03-22Series Unknown· $17M
2020-05-27Series B· $2M
Leadership Team
Raymond DeZenzo
Chief Operating Officer & CFO
Dave Wagner
VP of Product Marketing and Partner Development
Recent News
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