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Data Platform Engineer, Emerging Technology Solutions

Apple· Software and Services
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ShanghaiFull-timePosted 2mo ago

About the role

Role focused on building scalable security-focused data platforms and anti-abuse solutions, leveraging NoSQL, ML, and big data to process large volumes of security telemetry and deliver high-availability, scalable services.

Responsibilities

  • Data Engineering: Design, build, and maintain high-throughput batch and real-time data pipelines to process, aggregate, and analyze massive volumes of security telemetry across domains, IP addresses, and user entities.
  • Platform Engineering: Architect, deploy, and scale robust micro-services and platform infrastructure to support high-availability, customer-facing anti-abuse services.
  • End-to-End Ownership ("You Build It, You Own It"): Take full ownership of services from initial coding to production deployment, monitoring, troubleshooting, and operational maintenance within a unified team.
  • Automation & Business Continuity: Invest heavily in system automation, automated testing frameworks, auto-healing systems, and resilient CI/CD pipelines to guarantee 24/7 business continuity and service uptime.
  • AI-Enabled Engineering: Leverage AI-assisted coding tools and modern software engineering practices to accelerate development cycles, enhance code quality, and solve complex, cross-domain technical challenges.
  • Data Store Optimization: Manage and optimize distributed NoSQL, Relational, and in-memory datastore for real-time risk scoring, pattern matching, and high-frequency aggregate state lookup.
  • Observability & Telemetry: Establish comprehensive telemetry, logging, and metrics frameworks to proactively detect system bottlenecks, data quality anomalies, and production incidents.
  • Cross-Functional Collaboration: Partner with cross-functional security teams, data scientists, and platform architects across Apple to deliver transformational anti-abuse solutions.

Qualifications

  • Bachelor's Degree in Computer Science, Computer Engineering, or equivalent technical field.
  • 2+ years of technical experience designing, building, and maintaining scalable data pipelines and platform infrastructure.
  • Proficiency in Java, Python, or Scala for building data processing pipelines, distributed systems, and backend services.
  • Hands-on experience operating in a "you build it, you own it" production environment with direct involvement in software deployment, observability, and operational maintenance.
  • Strong understanding of distributed systems concepts, micro-services architecture, Object-Oriented Design, and RESTful service design.
  • Practical experience with NoSQL datastore (e.g., Cassandra, Redis, MongoDB), as well as streaming/batch frameworks (e.g., Kafka, Spark, Flink).
  • Familiarity with containerization, CI/CD automation, and cloud/platform orchestration (e.g., Docker, Kubernetes) to maintain operational business continuity.

Skills

Required:JavaPython
Nice to have:Scala

Benefits

  • Not explicitly listed in description.
Last updated Aug 21, 2026. Interested? Apply on the company site.

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