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24 часа назад

Staff DevOps Engineer (AI)

210 000 - 257 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff DevOps Engineer (AI): Operating a large-scale multi-tenant SaaS platform across AWS and GCP with an accent on Kubernetes, Terraform, CI/CD, observability, and DevSecOps. Focus on building AI/LLM-powered platform tools, securing software supply chains, and managing complex multi-cluster infrastructure and data platforms.

Location: Mountain View, California, United States; hybrid work with two days per week in the office

Salary: $210,000–$257,000 annually, depending on location, qualifications, experience, and relevant skills.

Company

hirify.global provides an AI security and governance platform with network-level visibility, intent-aware policies, and protection for enterprise AI activity.

What you will do

  • Design and operate 50+ EKS/GKE clusters, multi-tenant compute, autoscaling, and cluster lifecycle management across AWS and GCP.
  • Own Terraform infrastructure-as-code across multi-account, multi-region environments spanning 200+ repositories and services.
  • Architect and operate CI/CD pipelines using Harness, GitHub Actions, and ArgoCD, including supply-chain security, SBOMs, and progressive delivery.
  • Build large-scale metrics, logging, and distributed-tracing systems with OpenTelemetry across all clusters.
  • Implement DevSecOps controls including secret management, image signing, policy-as-code, vulnerability management, and compliance automation.
  • Create AI/LLM-powered tools for platform operations, incident triage, drift detection, and CI/CD automation; operate SQL and NoSQL platforms with disaster recovery and schema lifecycle management.

Requirements

  • 10+ years of experience in DevOps, Platform Engineering, or SRE in cloud-native SaaS environments.
  • Expert AWS experience with EKS, RDS/Aurora, IAM, VPC, and cost management, plus solid GCP experience.
  • Production Terraform experience at scale, including modules, state management, drift detection, and multi-account patterns.
  • Advanced Kubernetes expertise covering RBAC, network policy, GitOps with ArgoCD or Flux, operators, and resource management.
  • Strong Go and/or Python skills for building and shipping production-grade internal tooling.
  • Hands-on experience building tools with AI/LLM APIs integrated into engineering workflows.
  • Production SQL proficiency and experience operating NoSQL platforms.
  • Experience designing and operating large-scale, multi-cluster observability solutions.
  • DevSecOps experience with vulnerability management, software supply-chain security, and SOC 2 / ISO 27001 compliance frameworks.
  • Ability to scope ambiguous problems, work independently, and drive solutions through delivery.

Nice to have

  • Background in regulated industries such as SaaS-based fintech, healthtech, or AI infrastructure.
  • GPU infrastructure or AI model-serving experience with vLLM or SageMaker.
  • Open-source development projects used by others.

Culture & Benefits

  • Hybrid work environment with two office days per week.
  • Health, dental, and vision insurance.
  • 401(k) plan.
  • Competitive salary and equity.
  • Professional development opportunities and generous vacation policy.

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