About The Position

Lead the internal developer platform, including golden paths, templates, and standardized build and deploy workflows Define and operate shared platform services used by engineering teams for provisioning, integration, and operational automation Establish CI/CD consumption patterns with embedded policy enforcement and environment automation Drive platform adoption through onboarding, documentation, reference implementations, and migration from legacy tooling Own intake, prioritization, and sequencing for platform services and AI enablement work Build and hire platform engineers and product leadership Deep experience designing and operating internal developer platforms and shared platform services Strong understanding of modern delivery systems, CI/CD consumption models, and developer workflows Hands-on experience enabling AI in production environments, not just experimentation Ability to think strategically about platform direction and make pragmatic tradeoffs across teams and technologies Ability to drive adoption, set standards, and reduce tooling and workflow fragmentation Track record of hiring, developing, and scaling strong engineering teams Sound engineering judgment with a bias toward reliability, clarity, and long-term maintainability 10+ years in software or platform engineering, including 5+ years in engineering leadership Experience delivering internal developer platforms, platform services, or large-scale automation systems Strong foundation in cloud-native architectures and service-oriented design Experience defining platform standards, APIs, and lifecycle or policy controls Production experience delivering AI enablement or AI platform services at enterprise scale Provide governed access to AI models and services with clear routing, execution, and observability patterns

Requirements

  • Deep experience designing and operating internal developer platforms and shared platform services
  • Strong understanding of modern delivery systems, CI/CD consumption models, and developer workflows
  • Hands-on experience enabling AI in production environments, not just experimentation
  • Ability to think strategically about platform direction and make pragmatic tradeoffs across teams and technologies
  • Ability to drive adoption, set standards, and reduce tooling and workflow fragmentation
  • Track record of hiring, developing, and scaling strong engineering teams
  • Sound engineering judgment with a bias toward reliability, clarity, and long-term maintainability
  • 10+ years in software or platform engineering, including 5+ years in engineering leadership
  • Experience delivering internal developer platforms, platform services, or large-scale automation systems
  • Strong foundation in cloud-native architectures and service-oriented design
  • Experience defining platform standards, APIs, and lifecycle or policy controls
  • Production experience delivering AI enablement or AI platform services at enterprise scale

Responsibilities

  • Lead the internal developer platform, including golden paths, templates, and standardized build and deploy workflows
  • Define and operate shared platform services used by engineering teams for provisioning, integration, and operational automation
  • Establish CI/CD consumption patterns with embedded policy enforcement and environment automation
  • Drive platform adoption through onboarding, documentation, reference implementations, and migration from legacy tooling
  • Own intake, prioritization, and sequencing for platform services and AI enablement work
  • Build and hire platform engineers and product leadership
  • Provide governed access to AI models and services with clear routing, execution, and observability patterns

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What This Job Offers

Job Type

Full-time

Career Level

Director

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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