Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$210к-257к/год
$180к$210кмедиана$240к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $3.3к/мес ($2.5к - $4.2к)
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Роль предполагает большую самостоятельность и работу с современной облачной платформой, но широкий охват инфраструктуры и безопасности может означать высокую нагрузку.
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Широкая зона ответственностиСовременный стекЗащита AIРазвитие и отдых
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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