AI/ML Infrastructure Engineer

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

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ABOUT PREDII

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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.

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.

PREDII RESEARCH

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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.

THE VIBE

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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:

• 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

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• Cloud & Platform — build + run deployments on Azure, GCP, AWS with Kubernetes/AKS, Terraform, Ansible, Helm.
• DevOps & 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 DevOps, infra, and DevSecOps; you're not stuck with 2019's stack.
• IT Support — jump in on Windows Server / macOS support when needed.

YOUR TOOLKIT

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• Cloud & Containers: Azure, GCP, AWS, Docker, Kubernetes, AKS
• Automation: Terraform, Ansible, Helm, Bash, Python
• CI/CD: GitHub Actions, GitLab CI, Azure DevOps (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

WHAT YOU BRING

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• 3–5+ years hands-on AI/ML Infrastructure / DevOps / 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, incident response, RCA, runbooks, backup, DR.
• Working knowledge of security/compliance across Linux, Windows Server, macOS.
• A self-starter mindset — comfortable working independently across a distributed US–India team.

BONUS POINTS

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

HOW WE ROLL

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

How To Apply

• Email: [email protected]