Platform AI & Data Engineer: Scalable DB Automation

Apple Inc.

Sunnyvale (CA)

On-site

USD 150,000 - 278,000

Full time

45 hours ago
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Benefits offered by this job

Stock options
Relocation assistance
Comprehensive benefits

Job summary

Apple Inc. in Sunnyvale, California, is seeking a Platform Software Engineer for AI & Data Platforms (AiDP) to own the automation layer for PostgreSQL-based services powering Services, Manufacturing, AIML, and more.

You will design API-driven microservices, improve observability, and integrate AI/ML capabilities into configuration and scheduling. The role emphasizes reliability, scale, and collaboration across teams.

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; Java/Kotlin/C/C++ optional.
  • Bachelor's in Computer Science or Computer Engineering or equivalent work experience.

Responsibilities

  • Automation Development: design and build tools to streamline database management tasks and performance tuning, including AI/ML enhancements.
  • API-Driven Services: design, build, and maintain secure, versioned microservices exposing database lifecycle operations as APIs.
  • CI/CD: integrate database automation into pipelines with automated testing, canary rollouts, and rollbacks.
  • Monitoring and Alerting: develop and enhance monitoring and health checks, with self-healing capabilities.

Skills

Software development
API-driven microservices
Python
Cloud APIs

Education

Bachelor's in Computer Science or Computer Engineering

Tools

PostgreSQL
Prometheus
Grafana

Job description

Apple Inc. in Sunnyvale, California, is seeking a Platform Software Engineer for AI & Data Platforms (AiDP) to own the automation layer for PostgreSQL-based services powering Services, Manufacturing, AIML, and more.

You will design API-driven microservices, improve observability, and integrate AI/ML capabilities into configuration and scheduling. The role emphasizes reliability, scale, and collaboration across teams.

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