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Staff Enterprise Systems Engineer (DevOps)

126 000 - 244 000$
Формат работы
onsite
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 Enterprise Systems Engineer (DevOps) (AI workflow infrastructure): Building and operating a secure, enterprise-grade platform for n8n and related AI workflow tools with an accent on cloud infrastructure, governance, observability, and reliability. Focus on designing multi-environment CI/CD and IaC, applying AI to incident operations and change management, and raising DevOps maturity across teams.

Location: United States

Base pay: $126,000–$201,600 in Colorado, $126,000–$222,800 in Washington, $126,000–$244,000 in California, and $139,200–$244,000 in New York City, annually. The role is also eligible for an annual performance bonus.

Company

hirify.global provides a cloud compliance platform for tax, finance, operations, and business automation.

What you will do

  • Own the end-to-end infrastructure lifecycle for n8n and related AI workflow tools, including environments, containers, clusters, storage, networking, secrets, and integrations.
  • Build secure, governed multi-environment platforms with standardized CI/CD, Infrastructure as Code, security controls, and reusable templates.
  • Define SLOs, metrics, logging, alerting, and operational practices that improve reliability, reduce MTTR, and lower change failure rates.
  • Apply AI to incident triage, anomaly detection, capacity forecasting, change-risk assessment, IaC, CI/CD, security policies, and runbooks.
  • Partner with architecture, security, and platform teams to align the platform with software maturity and engineering governance standards.
  • Mentor engineers and citizen developers while raising DevOps, automation, AI adoption, and operational excellence standards.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5–8+ years of experience in DevOps, SRE, or platform engineering for SaaS or large-scale distributed systems, with production ownership.
  • Strong experience with AWS, Azure, or GCP, including networking, security groups, load balancers, and managed Kubernetes or equivalent orchestration.
  • Hands-on expertise with Terraform or equivalent Infrastructure as Code, multi-environment infrastructure, and CI/CD pipelines with testing, security scanning, and artifact management.
  • Strong knowledge of Linux and/or Windows, DNS, TLS, routing, firewalls, secure secret management, logging, monitoring, SLOs, and alerting.
  • Experience supporting shared or multi-tenant platforms and using AI tools in daily engineering or operations with measurable impact.

Culture & Benefits

  • AI-first working environment with AI embedded in workflows, decision-making, and products.
  • Paid time off and paid parental leave.
  • Eligibility for bonuses depending on the applicable plan and role.
  • Benefits may include medical, life, and disability insurance, varying by location.
  • Inclusive culture supported by employee resource groups and senior leadership sponsorship.

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