Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$120к-202к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.6к/мес ($2.5к - $4.5к)
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Роль дает широкую ответственность за современную облачную и AI-инфраструктуру, обязанности описаны четко, а пакет льгот весомый; при этом масштаб задач велик, а работа только в офисе ограничивает гибкость.
Широкая зона ответственности
Современный стек
AI-инфраструктура
Только офис
Хороший пакет льгот
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (GCP/AI): Designing and operating highly available, secure cloud-native platforms and AI-enabled infrastructure with an accent on GCP, Kubernetes, Terraform, automation, observability, and compliance. Focus on building multi-region architectures, governing CI/CD and DevSecOps, leading incident response, and enabling reliable deployment of generative AI and agentic products.
Location: Florham Park, New Jersey, United States; onsite
Salary: USD 120,300–202,300 per year
Company
Dun & Bradstreet is a global business decisioning data and analytics company helping organizations grow, manage risk, and innovate.
What you will do
Lead the design, modernization, governance, and operation of enterprise cloud platforms on GCP and other enterprise cloud services.
Define Terraform infrastructure standards, reference architectures, multi-region high-availability and disaster-recovery patterns, and legacy-to-cloud migrations.
Build and operate large-scale GKE environments and platform capabilities including service mesh, API gateways, secrets management, container security, networking, identity federation, and Helm-based deployments.
Establish automated CI/CD pipelines, release governance, progressive delivery, rollback mechanisms, and self-service platform capabilities across development, QA, staging, and production.
Own reliability, observability, incident response, root-cause analysis, resilience testing, and operational metrics for critical customer-facing applications.
Enable secure infrastructure and governance for generative AI, agent platforms, MCP servers, RAG/vector workloads, AI APIs, and core data services while mentoring engineering teams.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
8+ years of experience in Cloud Engineering, DevOps, Platform Engineering, or SRE, including 5+ years leading major enterprise platform initiatives.
Proven experience operating large-scale production systems on GCP and/or AWS.
Expert Terraform skills and strong experience with Kubernetes/GKE, Docker, Helm, cloud networking, API gateways, and cloud security.
Experience with enterprise CI/CD pipelines using Harness, GitHub Actions, Jenkins, GitLab, or similar tools.
Strong automation skills with Python, Bash, or similar languages.
Experience with PostgreSQL, cloud databases, distributed systems, production incidents, and root-cause analysis.
Strong understanding of security, compliance, and governance frameworks.
Ownership mindset, proactive problem-solving, collaboration, curiosity, and continuous learning.
Where applicable, fluency in English and languages relevant to the working market.
Nice to have
GCP Professional Cloud Architect or DevOps Engineer, AWS Solutions Architect Professional, or Terraform Associate certification.
Experience with observability tools such as Splunk, GitOps, and AI platform technologies including LangChain/LangGraph, MCP, vector databases, and AI governance.
Background in regulated or enterprise SaaS environments.
Culture & Benefits
Employee position with full-time employment.
Paid time off increasing with tenure, paid sick time, and up to 16 weeks of fully paid parental leave after one year.
Education assistance and extensive training resources.
Paid volunteer days, donation matching, and discounted Wellhub membership.
Competitive 401(k) with company matching and medical, dental, and vision insurance for employees and dependents.
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