AI/ML Infrastructure Engineer

Predii Inc.

San Leandro, CA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Artificial Intelligence Amazon Web Services Apple Mac Systems Microsoft Azure Backup Devices Bash Shell Cloud Computing Continuous Integration Linux DevOps Disaster Recovery Domain Name System (DNS)

+28 more

Github Identity and Access Management Virtual Private Networks (VPN) Python (Programming Language) Network Security Windows Servers Role-Based Access Control Ansible Prometheus Runbook TCP/IP Data Logging Google Cloud Load Balancing Okta Grafana Multi-Cloud Firewalls (Computer Science) Git Gitlab-ci Kubernetes Azure AKS Machine Learning Operations Cloud Optimization Terraform Devsecops Docker Vulnerability Analysis

Job description

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., * 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.

Requirements

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, * 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., * 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.