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Enterprise Systems Engineer V (DevOps/AI)

126 000 - 244 000$
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

Enterprise Systems Engineer V (DevOps/AI): Designing and managing a secure, enterprise-grade AI workflow platform using n8n with an accent on infrastructure governance, security, and reliability. Focus on building self-service AI automation tools, optimizing CI/CD pipelines, and embedding AI into DevOps operations to improve engineering effectiveness.

Location: Must be based in the United States (specifically mentions Colorado, Washington, California, or New York)

Salary: $126,000 – $244,000

Company

hirify.global is a billion-dollar cloud compliance company specializing in tax technology and AI-first automation ecosystems.

What you will do

  • Own the end-to-end lifecycle of AI workflow infrastructure, including n8n, runtime clusters, and supporting environments.
  • Implement secure-by-design governance through hardened baselines, secret management, and IAM boundaries.
  • Drive operational reliability by defining SLOs, metrics, and alerting to reduce MTTR and change failure rates.
  • Develop reusable IaC modules and reference pipelines to standardize AI workflow deployments across teams.
  • Act as a DevOps Bar Raiser by mentoring engineers and integrating AI tools into the software delivery lifecycle.
  • Align AI workflow infrastructure with the company's Software Maturity Model (SMM) and engineering governance.

Requirements

  • Must be based in the United States
  • 5–8+ years of experience in DevOps, SRE, or platform engineering for large-scale distributed SaaS systems.
  • Proficiency with major cloud providers (AWS, Azure, or GCP) and managed Kubernetes (EKS/AKS/GKE).
  • Deep hands-on experience with Infrastructure as Code (Terraform) and CI/CD pipelines (GitLab CI/CD).
  • Strong knowledge of Linux/Windows, networking fundamentals (DNS, TLS, routing), and secure secret management.
  • Proven experience running multi-tenant shared platforms and applying AI tools to professional engineering operations.

Nice to have

  • Experience with monitoring and logging stacks such as Sumo Logic, Splunk, Prometheus, or Grafana.
  • Master's degree in Computer Science, Engineering, or a related field.

Culture & Benefits

  • Competitive compensation package including annual bonus eligibility.
  • Comprehensive health and wellness benefits: private medical, life, and disability insurance.
  • Paid time off and paid parental leave.
  • Inclusive culture with 8 employee-run resource groups supported by senior leadership.

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