3 cloud security engineer mlops engineer jobs at 3 companies in Gustine, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
KlearNow.AI: AI platform for digital customs brokerage and logistics management.
Engineering leader with hands-on DevSecOps experience across AWS and GCP, CI/CD and IaC expertise, AI infrastructure (GPU/compute provisioning, model serving), cloud security, and scripting in Python/Bash/Go/Java.
McAfee: Provides cybersecurity and privacy protection software for consumers.
10+ YOE10+ years platform engineering experience with GenAI/LLM ecosystems, Kubernetes (EKS/GKE), cloud (AWS/GCP), Python and Go, Terraform, Backstage, CI/CD, vector stores/OpenSearch, Kafka, and enterprise AI security and governance.
Member of Technical Staff - 4 ( Devops - AI/ MLOPS)
Bangalore or San Jose or Durham or Mexico City or Pune or Hoofddorp or Belgrade or Barcelona or Singapore or Sydney or Tokyo
HybridFull Time
NutanixNASDAQ: NTNX: Sells cloud software and hyperconverged infrastructure for enterprises.
4+ YOE4–12+ years in DevOps/DevSecOps/Platform Engineering; proven ability to design and operate secure CI/CD platforms at scale; strong cloud, Kubernetes security, IaC, and MLOps experience; bachelor’s degree in CS/Engineering.