Principal Network Engineer, Cloud Networking
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Morrisville, North Carolina; Waltham, Massachusetts; or San Jose, California, United States. Hybrid working environment with some level of in-office and/or in-person expectations.
Salary: $225,000–$270,000 annual base salary for the Raleigh, NC range; final compensation depends on location, qualifications, experience, and education.
Company
provides intelligent data infrastructure, unified storage, integrated data services, and enterprise-grade storage services embedded in Google Cloud, AWS, and Microsoft Azure.
What you will do
- Lead network architecture, fabric design, routing, subnet integrity, connectivity, and hardening across multi-region cloud environments and deployment stamps.
- Design network changes, reachability audits, connectivity guardrails, and topology-aware placement and routing automation.
- Set architecture standards for SRE and cloud platform teams and lead design and operational readiness reviews for regions, deployment stamps, and releases.
- Act as a senior escalation point for P0/P1 incidents, lead network troubleshooting, and drive root-cause analysis through durable corrective actions.
- Partner with Product Engineering, Support, Google, customers, and other stakeholders to resolve dependencies and improve service reliability.
- Reduce operational toil and alert noise through automation and observability, mentor engineers, contribute to roadmap and capacity planning, and represent the organization in technical forums.
Requirements
- At least 12 years of applicable professional experience in network engineering, cloud infrastructure, distributed systems, site reliability engineering, or a related field.
- Deep hands-on experience designing and operating large-scale cloud or data center networks, including routing, subnet architecture, network fabrics, reachability, and multi-region connectivity.
- Experience supporting production services on Google Cloud, AWS, or Microsoft Azure; Google Cloud experience is strongly preferred.
- Proficiency in network automation and infrastructure-as-code using technologies such as Python, Go, Terraform, Ansible, Bash, Kubernetes, or CI/CD pipelines.
- Experience leading critical production incident response, performing root-cause analysis, and implementing preventive corrective actions.
- Strong understanding of network security and hardening, observability, service reliability, failure domains, and operational readiness.
- Experience setting architecture direction and influencing multiple engineering teams without direct authority, with the ability to communicate complex technical decisions to engineers, partners, customers, and senior stakeholders.
- Applicable education, certifications, or technical training are valued; a bachelor's degree in computer science, computer engineering, electrical engineering, or a related field is a plus but not required, and relevant professional experience may be considered instead.
Nice to have
- Experience with BGP, VXLAN/EVPN, software-defined networking, Kubernetes or container networking, or cloud interconnect technologies.
- Experience building or operating storage, infrastructure, or other highly available services across multiple regions.
- Experience working with hyperscaler engineering teams or delivering a first-party cloud service.
- Experience improving service placement, routing, capacity, or network topology through automation and data-driven guardrails.
Culture & Benefits
- Hybrid work designed to support connection, collaboration, and culture, with in-office or in-person expectations communicated during recruitment.
- Benefits may include health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, an employee stock purchase plan, and restricted stock units, subject to regional variations and local laws.
- Culture emphasizes initiative, impact, ownership, innovation, problem-solving, inclusion, and work-life balance.
Hiring process
- Applications are reviewed only when submitted through the company website; contacting employees, recruiters, or Human Resources directly does not influence the application.
- Some stages for select roles may use artificial intelligence tools to support, but not replace, human decision-making.
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