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AI/ML Infrastructure Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

AI/ML Infrastructure Engineer\n
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Mid-Level to Senior | Engineering & Platform Ops

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US-based — CA preferred, open to West Coast + remote. Hybrid-friendly.

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Address: 2211 Park Blvd, Palo Alto, CA 94306

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ABOUT PREDII\n

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Predii 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.

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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 www.predii.com.

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PREDII RESEARCH\n

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We 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.

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THE VIBE\n

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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:

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  • Multi-cloud infra (Azure, GCP, AWS)
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  • Kubernetes, CI/CD, automation-everything
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  • Security, compliance, access — keeping the house locked
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  • Monitoring & reliability — catching problems before customers do
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  • Incident response & disaster recovery
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  • Cloud cost optimization (yes, we care about the bill too)
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Senior folks: expect to shape architecture and mentor the team, not just execute someone else's roadmap.

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WHAT YOU'LL ACTUALLY DO\n

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  • Cloud & Platform — build + run deployments on Azure, GCP, AWS with Kubernetes/AKS, Terraform, Ansible, Helm.
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  • DevOps & CI/CD — ship pipelines that are reliable and repeatable, not held together with duct tape.
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  • Reliability & Observability — build monitoring, logging, alerting, tracing; hunt down root causes, not just symptoms.
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  • Security & Compliance — RBAC, auth, network security, vuln management, SOC 2 Type 2 controls.
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  • Resilience & Ops — own backups, DR, capacity planning, cloud costs, and production support.
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  • Keep Leveling Up — evaluate new tools across DevOps, infra, and DevSecOps; you're not stuck with 2019's stack.
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  • IT Support — jump in on Windows Server / macOS support when needed.
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YOUR TOOLKIT\n

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  • Cloud & Containers: Azure, GCP, AWS, Docker, Kubernetes, AKS
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  • Automation: Terraform, Ansible, Helm, Bash, Python
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  • CI/CD: GitHub Actions, GitLab CI, Azure DevOps (or similar)
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  • Observability: Grafana, Prometheus, ELK (or equivalent)
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  • Networking: TCP/IP, DNS, load balancing, VPNs, firewalls/NSGs, segmentation
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  • Identity: RBAC, cloud IAM, Okta, multi-tenant auth
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  • Systems: Linux, Windows Server, macOS
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  • Security & Compliance: SOC 2 Type 2, access/change controls, business continuity + DR
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WHAT YOU BRING\n

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  • 3–5+ years hands-on AI/ML Infrastructure / DevOps / SRE / Platform Engineering, in production — not just labs.
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  • Strong cloud + Kubernetes chops — Azure/AKS preferred; GCP/AWS/Docker is a big plus.
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  • Solid networking and security fundamentals.
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  • Comfortable with Terraform, Ansible, Helm, Bash, Python (or similar).
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  • Real Git-based CI/CD experience — automated deploys, security scanning included.
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  • Battle-tested on observability & prod ops — monitoring, incident response, RCA, runbooks, backup, DR.
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  • Working knowledge of security/compliance across Linux, Windows Server, macOS.
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  • A self-starter mindset — comfortable working independently across a distributed US–India team.
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BONUS POINTS\n

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  • Auth/IAM experience, especially multi-tenant setups.
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  • Background in automotive or data-heavy platforms.
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  • Been through a SOC 2 Type 2 audit before.
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  • Startup or small-team energy — you've worn more than one hat.
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  • Cloud, Kubernetes, or Terraform certs.
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  • Senior folks: mentoring or technical leadership experience.
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HOW WE ROLL\n

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  • Own it — flag issues early, make the call, follow through.
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  • Be proactive — don't wait to be told; spot the risk, bring the fix.
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  • Share the load — security and reliability are everyone's job, not just yours.
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  • Make it count — your work ships to production and touches real customers, real fast.
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How To Apply\n

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