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5 дней назад

Lead DevOps Engineer (AI)

150 000 - 185 000$
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead DevOps Engineer (AI): Building and evolving secure, highly available cloud platforms for production AI products with an accent on Kubernetes, Terraform, CI/CD, and GitOps. Focus on designing resilient infrastructure, securing distributed systems, building actionable observability, and enabling product teams to deploy and operate services independently.

Location: Houston, Texas, United States

Salary: $150,000–$185,000 per year plus bonus

Company

hirify.global Nexus Black builds production AI products for industrial, field-service, manufacturing, regulatory-compliance, and asset-heavy operations.

What you will do

  • Design, build, and operate cloud infrastructure as code using Terraform.
  • Own the Kubernetes platform, including GKE workload standards, deployment models, multi-zone resilience, resource limits, and safe failure modes.
  • Build CI/CD pipelines and GitOps workflows with rolling deployments, canary releases, and rapid rollback capabilities.
  • Establish secure-by-default practices across infrastructure, pipelines, and runtime environments.
  • Build actionable observability with meaningful alerts and self-service dashboards.
  • Lead and mentor platform engineers while anticipating future platform needs.

Requirements

  • Experience building and operating cloud-native platforms at scale.
  • Strong Kubernetes and containerized-workload experience.
  • Infrastructure as Code experience with Terraform, plus CI/CD and GitOps-style delivery.
  • Deep understanding of high availability, fault tolerance, scaling strategies, and secure infrastructure design.
  • Strong troubleshooting skills across distributed systems.
  • Production experience with AI, ML, or LLM workloads and the ability to explain technical decisions clearly.

Nice to have

  • Experience with Istio or similar service-mesh technologies.
  • Knowledge of Kubernetes Gateway API or modern ingress patterns.
  • Experience with Redis, PostgreSQL, or managed cloud data services.
  • Background in industrial, field-service, or other asset-heavy domains.

Culture & Benefits

  • High-trust environment with substantial autonomy.
  • Opportunity to shape a platform engineering capability and work with real production AI systems.
  • Flexible paid time off, including sick leave and holidays.
  • Medical, dental, and vision insurance, plus life and disability insurance.
  • 401(k) with company contribution and flexible spending accounts.
  • Tuition assistance and community involvement or volunteering events.

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