AI/ML Infrastructure Engineer
Listed on 2026-09-04
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IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer
Mid-Level to Senior | Engineering & Platform Ops
US-based - CA preferred, open to West Coast + remote. Hybrid-friendly.
AI/ML Infrastructure Engineer
Mid-Level to Senior | Engineering & Platform Ops
US-based - CA preferred, open to West Coast + remote. Hybrid-friendly.
Address: 2211 Park Blvd, Palo Alto, CA 94306
ABOUT PREDIIPredii builds the intelligence layer that runs the automotive service and parts industry. Our platform, Predii 360, turns messy repair-order, DMS, and parts data into real-time intelligence - powering parts lookup, diagnostics, and repair search for dealership and aftermarket customers at scale, processing billions of repair orders and serving live search at sub-second latency.
We're small, fast, and allergic to red tape. No 12-layer approval chains, no work that disappears into a backlog forever. If you build something here, it ships - and real customers use it. Learn more at
PREDII RESEARCHWe do real research, not just integration. We continue to submit state-of-the-art research on topics including: engineering-diagram and technical-document understanding, domain-calibrated evaluation frameworks for technical content, multi-agent architectures that optimize for correctness and honesty, detecting "confident-but-wrong" failures that standard monitoring misses, moving from reactive detection to causal, explainable prognosis, and multilingual evaluation of technical and repair content. We've found that multi-agent systems that just concatenate outputs get less trustworthy as they get more capable, so we design ours to contest and qualify each other's findings instead.
And we run open-weight models in production at enterprise scale, because repair-grade accuracy shouldn't cost frontier-model money. All of it is deliberately vertical: deep automotive domain expertise applied to automotive problems, not a general-purpose model with an automotive skin.
We need a AI/ML Infrastructure Engineer who wants more than tickets - someone ready to actually own infrastructure across multiple clouds and help shape how we build. This is real ownership, not busywork. You'll touch:
- Multi-cloud infra (Azure, GCP, AWS)
- Kubernetes, CI/CD, automation-everything
- Security, compliance, access - keeping the house locked
- Monitoring & reliability - catching problems before customers do
- Incident response & disaster recovery
- Cloud cost optimization (yes, we care about the bill too)
Senior folks: expect to shape architecture and mentor the team, not just execute someone else's roadmap.
WHAT YOU'LL ACTUALLY DO- Cloud & Platform - build + run deployments on Azure, GCP, AWS with Kubernetes/AKS, Terraform, Ansible, Helm.
- Dev Ops & CI/CD - ship pipelines that are reliable and repeatable, not held together with duct tape.
- Reliability & Observability - build monitoring, logging, alerting, tracing; hunt down root causes, not just symptoms.
- Security & Compliance - RBAC, auth, network security, vuln management, SOC 2 Type 2 controls.
- Resilience & Ops - own backups, DR, capacity planning, cloud costs, and production support.
- Keep Leveling Up - evaluate new tools across Dev Ops, infra, and Dev Sec Ops ; you're not stuck with 2019's stack.
- IT Support - jump in on Windows Server / macOS support when needed.
- Cloud & Containers: Azure, GCP, AWS, Docker, Kubernetes, AKS
- Automation: Terraform, Ansible, Helm, Bash, Python
- CI/CD: Git Hub Actions, Git Lab CI, Azure Dev Ops (or similar)
- Observability: Grafana, Prometheus, ELK (or equivalent)
- Networking: TCP/IP, DNS, load balancing, VPNs, firewalls/NSGs, segmentation
- Identity: RBAC, cloud IAM, Okta, multi-tenant auth
- Systems: Linux, Windows Server, macOS
- Security & Compliance: SOC 2 Type 2, access/change controls, business continuity + DR
- 3-5+ years hands-on AI/ML Infrastructure / Dev Ops / SRE / Platform Engineering, in production - not just labs.
- Strong cloud + Kubernetes chops - Azure/AKS preferred; GCP/AWS/Docker is a big plus.
- Solid networking and security fundamentals.
- Comfortable with Terraform, Ansible, Helm, Bash, Python (or similar).
- Real Git-based CI/CD experience - automated deploys, security scanning included.
- Battle-tested on observability & prod ops - monitoring,…
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