Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$126к-244к/год
$140к$170кмедиана$190к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.3к/мес ($2.7к - $4.2к)
88
Крутая вакансия
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Высокоуровневая роль в трендовом AI-домене с исключительно детальным описанием. Несмотря на то, что зарплата чуть ниже рыночного медианного значения, масштаб компании и влияние роли делают этот вариант очень привлекательным.
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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