Senior SRE: Global-Scale Data Systems on AWS & Kubernetes

Apple, Inc.

Seattle (WA)

On-site

USD 142,000 - 263,000

Full time

13 hours ago
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Employee stock plan
Relocation assistance
Tuition reimbursement
Discounted products

Job summary

Apple, Inc. in Seattle, WA, is seeking a Service Reliability Engineer (SRE) to join the Apple Services Engineering team. You will configure, tune, and fix multi-tiered systems to achieve optimal performance, stability and availability.

The role involves managing jobs on bare-metal and cloud platforms to support Apple’s data processing for its global services. The position emphasizes hands-on engineering, automation, and on-call experience, with collaboration across large, distributed teams.

Qualifications

  • 5+ years in an SRE/DevOps role.
  • BS in CS or equivalent with 5+ years or MS with 3+ years, or equivalent.
  • 5+ years running services in a large-scale Unix environment.
  • Understanding of SRE principles with on-call experience.
  • Extensive experience managing applications on AWS & Kubernetes.
  • Deep experience with Hadoop, Spark, Flink, Kubernetes, AWS.

Responsibilities

  • Support Java-based apps & Spark/Flink jobs on Baremetal, AWS & Kubernetes.
  • Assess requirements and design right service topology on AWS, Baremetal & Kubernetes.
  • Build automation for self-healing systems.
  • Develop tools to monitor high performance and low-latency apps.
  • Troubleshoot app, network, system & performance issues.
  • Participate in fast-paced projects delivering innovative solutions.
  • Monitor multiple environments in an agile organization.

Skills

SRE/DevOps
On-call experience
Linux/Unix
AWS
Kubernetes
Hadoop
Spark
Flink

Education

BS in CS or equivalent
MS in CS or related

Job description

Apple, Inc. in Seattle, WA, is seeking a Service Reliability Engineer (SRE) to join the Apple Services Engineering team. You will configure, tune, and fix multi-tiered systems to achieve optimal performance, stability and availability.

The role involves managing jobs on bare-metal and cloud platforms to support Apple’s data processing for its global services. The position emphasizes hands-on engineering, automation, and on-call experience, with collaboration across large, distributed teams.

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