Senior Manager of Product Software Architecture and Engineering
Equinix
Dallas, United States Posted October 9, 2026
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Salary Range
$213,000 - $319,000
Job Description
Join our team as a Senior Manager of Product Software Architecture and Engineering. In this strategic and hands-on role, you will build and lead a Platform Engineering organization responsible for delivering a secure, scalable, and reliable API-first Compute Platform for Network & Interconnection Engineering. You will also manage the Quality Engineering team for compute-based network product offerings. This position requires deep technical expertise, strong people leadership, and a passion for enabling teams to innovate faster through platform capabilities, automation, and intelligent systems.
- Construire et diriger une organisation d'ingénierie de plateforme responsable de la livraison d'une plateforme de calcul API-first sécurisée, évolutive et fiable.
- Promouvoir les pratiques d'ingénierie AI-Native grâce à l'adoption de l'IA générative, des flux de travail agentiques et des outils de développement alimentés par l'IA.
- Diriger le développement de plateformes, d'agents et de capacités opérationnelles axés sur l'IA qui permettent le développement agent/agentique.
- This individual combines deep technical expertise with strong people leadership and a passion for enabling teams to innovate faster through platform capabilities, automation, and intelligent systems
- The successful candidate is a visionary engineering leader who can build a self-service, API-first compute platform, establish world-class reliability and quality engineering practices, and accelerate the organization's transition to AI-Native and autonomous operations
- Experience building self-service infrastructure platforms or Platform-as-a-Service (PaaS) capabilities
- 10+ years of experience leading Platform Engineering, SRE, Cloud Infrastructure, Network Operations, or related engineering organizations, including experience building and scaling high-performing teams
- Hands-on experience applying AI-assisted development, Agentic workflows, AIOps, and AI-Native engineering practices to improve engineering productivity and business outcomes
- Proven success driving technology transformation, operational excellence, and cross-functional execution across Product, Engineering, Operations, and Security organizations
- Deep expertise in cloud-native platforms, Kubernetes, distributed systems, infrastructure automation, observability, reliability engineering, and API-driven platform architectures
- Platform Engineering/Site Reliability Engineering (SRE), and large-scale distributed infrastructure operations
- Cloud-native platforms, Kubernetes administration, hybrid cloud environments, and API-first platform architectures
- Infrastructure-as-Code and automation tools such as Terraform, Pulumi, Ansible, or equivalent
- Linux systems, bare-metal infrastructure, virtualization technologies (KVM, Xen, or similar), and infrastructure lifecycle management
- Network Edge technologies, VNF/CNF validation, performance engineering, and service reliability
- Generative AI, Agentic AI, AIOps, and AI-powered engineering tools
- CI/CD, DevOps, GitOps, observability, monitoring, incident management, and operational governance
Required Skills
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