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Sr Sofware Developer / Site Reliability Engineer - ASE iCloud Content

Apple

Salary not specified
Dec 6, 2025
Seattle, WA, US
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Apple Services Engineering (ASE) team builds and provides platforms, services and infrastructure that fuel Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. We are looking for passionate and talented engineers to continue our focus in providing our customers the highest quality Apple Services experience. Our services have to scale globally, stay highly available, and "just work.”

Requirements

  • Experience with managing large numbers of diverse systems with configuration management and software delivery platforms (such as Spinnaker, Terraform, Puppet, Chef or Ansible) in a public, private, or hybrid cloud environment
  • Experience with Linux/Unix, Networking, Systems Management, Systems Security
  • Experience using modern object storage systems like S3, GCS.
  • Familiarity with large-scale observability systems like Prometheus, Grafana, Splunk
  • Experience in managing and scaling large distributed systems in a public, private, or hybrid cloud environment
  • Familiarity with cloud infrastructure concepts (zones, regions, VPCs, etc)
  • The ability to design, author and release code in languages like Java, Go, or Python

Responsibilities

  • Operate, monitor, and triage all aspects of our production and non-production environments.
  • Pioneer and implement the next-generation telemetry system.
  • Prepare alert handling procedures, runbooks, and collaborate with the off-shore SRE teams.
  • Automate deployment and orchestration of services into the cloud environment as well as other routine processes.
  • Actively participate in capacity planning, scale testing, and disaster recovery exercises.
  • Interact with and support partner teams, including engineering, QA, and program management.
  • Lead incident response and root cause analysis of production systems

Other

  • Fast learner who is generous with their knowledge
  • Being curious about how systems work and, more importantly, how they fail
  • An acute drive to build bots that automate away repetitive tasks
  • A track record of partnering with peers to foster solid engineering principles
  • Strong belief in acquiring and spreading knowledge via mentorship