Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$191к-297к/год
$140к$170кмедиана$200к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.8к/мес ($3к - $4.5к)
91
Крутая вакансия
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Чётко описанная руководящая роль сочетает масштабные корпоративные сети, облачную связность и автоматизацию, а зарплата выше рыночного ориентира. Ответственность широкая, но описание подробно раскрывает задачи и процессы команды.
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Выше рынкаСовременные технологииПонятные задачиШирокая ответственность
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Network Engineering Manager (SD-WAN/Cloud Networking): Leading the enterprise network connecting stores, fulfillment centers, distribution centers, data centers, and multiple cloud platforms with an accent on SD-WAN, cloud connectivity, wired and wireless infrastructure, and network automation. Focus on modernizing change management through GitOps, AI-assisted operations, infrastructure as code, incident response, and resilient multi-site network architecture.
Location: Hybrid — Seattle, Washington, US
Salary: $191,000–$297,000 annual pay range for Sr. Mgr Engineering; offers depend on location, skills, knowledge, and experience.
Company
hirify.global operates a large retail network connecting stores, fulfillment centers, distribution centers, offices, data centers, and cloud environments.
What you will do
Lead Network Engineering within Network and Infrastructure Operations for a network spanning 400+ stores, fulfillment centers, and distribution centers.
Oversee Versa SD-WAN, AWS, Azure, GCP, OCI connectivity, Juniper wired and Mist wireless infrastructure, and data center fabrics.
Review network designs, including SD-WAN policies, AWS Cloud WAN, campus and wireless rollouts, and VXLAN fabric expansions.
Lead incident response, post-incident reviews, network health monitoring, performance optimization, capacity planning, and SLA protection.
Modernize network operations through Git-based changes, CI/CD, infrastructure as code, automated checks, AI-assisted alert analysis, and controlled change workflows.
Coach engineers, manage roadmaps and backlogs in GitHub and Jira, approve production changes through the Change Advisory Board, and collaborate with security, cloud, store technology, fulfillment, and infrastructure teams.
Requirements
10+ years of hands-on network engineering across on-premises enterprise infrastructure and cloud networking, plus at least 3 years leading people or a technical team.
Experience with SD-WAN, enterprise wired and wireless networking, data center fabrics, VXLAN/EVPN, BGP, OSPF, WAN technologies, QoS, and network segmentation.
Cloud networking experience across AWS, Azure, GCP, and/or OCI, including Cloud WAN, Transit Gateway, Direct Connect, VNet peering, and hybrid connectivity.
Hands-on network automation and infrastructure-as-code experience with Ansible, Terraform, Python, GitOps, and CI/CD, including migration from manual to peer-reviewed automated changes.
Experience leading incident response, root cause analysis, problem management, engineering team development, vendor management, and roadmap planning.
Bachelor’s degree in Computer Science, Network Engineering, or a related field, or equivalent practical experience; ability to communicate technical and business impact to engineers and executives.
Nice to have
Versa VOS, AWS Cloud WAN, Juniper Mist AI, Marvis, Juniper QFX, Temporal, StackStorm, ServiceNow, PCI-DSS, SOC2, or AI agent and LLM tooling experience.
Retail or fulfillment network experience, including high-transaction stores and always-on distribution environments.
Certifications such as CCNP/CCIE, JNCIP/JNCIE, or AWS Advanced Networking Specialty.
Agile/Scrum experience and a track record of reducing operational toil, improving reliability, or lowering network costs.
Culture & Benefits
Full-time employee benefits include medical, vision, dental, retirement, paid time away, life insurance, and disability coverage.
Additional benefits include merchandise discounts, EAP resources, holidays, PTO accruals, and potential performance-based incentives.
Network operations use transparent GitHub workflows, visible roadmaps, peer review, audit records, and human oversight of AI-generated output.
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