Senior Platform Engineer, AI & Data Platforms

Apple Inc.

Sunnyvale (CA)

Hybrid

USD 150,000 - 278,000

Full time

20 hours ago
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Benefits offered by this job

Medical and dental coverage
Employee stock programs
Relocation assistance
Tuition reimbursement
Retirement benefits

Job summary

Apple is seeking a Platform Software Engineer for AI & Data Platforms (AiDP) in Sunnyvale, CA. You will help build the automation layer for PostgreSQL databases powering Apple’s workloads across Services, Manufacturing, AIML, and beyond.

You will ship API-driven microservices, improve observability and reliability, and push the boundaries of automation with AI-enabled configuration and scheduling, impacting millions of users worldwide.

Qualifications

  • 5+ years of software development experience.
  • Experience building highly available software services or platform infrastructure.
  • Experience designing, building, and maintaining API-driven microservices.
  • Proficient in Python optionally Java/Kotlin/C/C++.

Responsibilities

  • Automation Development: Design and build tools to streamline database management tasks and performance tuning, including AI/ML-driven capabilities.
  • API-Driven Services: Design, build, and maintain secure, versioned microservices exposing database lifecycle operations as APIs.
  • CI/CD: Integrate database management automation into CI/CD pipelines with automated testing, canary rollouts, and rollback capabilities.
  • Monitoring and Alerting: Develop and enhance monitoring, alerting, and health-check systems with deep observability for platform and customers.

Skills

Python
Java/Kotlin/C/C++

Education

Bachelor's in Computer Science or Computer Engineering or equivalent

Tools

AWS
GCP
PostgreSQL

Job description

Apple is seeking a Platform Software Engineer for AI & Data Platforms (AiDP) in Sunnyvale, CA. You will help build the automation layer for PostgreSQL databases powering Apple’s workloads across Services, Manufacturing, AIML, and beyond.

You will ship API-driven microservices, improve observability and reliability, and push the boundaries of automation with AI-enabled configuration and scheduling, impacting millions of users worldwide.

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