Senior Backend Software Engineer, Platform Engineering, Services Data Science & Analytics

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
134 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $187k
$142k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $151,000–$222,125.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Backend Software Engineer, Platform Engineering, Services Data Science & Analytics

As a Senior Backend Software Engineer, Platform Engineering, Services Data Science & Analytics, you will join the Services Data Science & Analytics organization to design, build, and operate backend services forming the foundation of their data platform. You will own core platform services end-to-end, including API design, query routing, caching infrastructure, and data lineage while ensuring reliability at high scale. The role involves collaborating with cross-functional teams like Data Engineering and Machine Learning Engineering to shape architectural decisions for scalability and durability. Required skills include expert proficiency in Python or Node.js/TypeScript, experience with distributed systems, and knowledge of REST, gRPC, or GraphQL. You will work with technologies such as Redis, Snowflake, Trino, Spark, PostgreSQL, Kubernetes, Prometheus, and Grafana. The role focuses on building high-performance infrastructure to manage, govern, and serve data for large e-commerce and media streaming businesses.

What you'll do

  • Design and build backend services for the core data platform infrastructure.
  • Own end-to-end service components including API design, query routing, and caching systems.
  • Ensure high performance and reliability for services operating at massive scale and low latency.
  • Make architectural decisions to improve the scalability and durability of analytical foundations.
  • Develop and manage multi-layer caching architectures and cache invalidation strategies.
  • Integrate backend systems with distributed data stores like Snowflake, Trino, Spark, or PostgreSQL.
  • Implement observability practices using tools such as Prometheus, Grafana, and OpenTelemetry.
  • Influence platform strategy and mentor engineers to drive the technical roadmap for data governance.

What we're looking for

  • 8+ years of experience building and operating high-performance, production-grade backend API services.
  • Expert proficiency in Python or Node.js/TypeScript including async programming and framework-level development.
  • Demonstrated experience designing and operating distributed systems with strict reliability and latency SLAs.
  • Strong proficiency with API design and service-to-service communication patterns like REST, gRPC, or GraphQL.
  • Hands-on experience with multi-layer caching architectures and cache invalidation strategies.
  • Extensive experience building systems that integrate with high-performance data stores such as Snowflake, Trino, Spark, or PostgreSQL.
  • Proficiency with Kubernetes, including deployment, HPA, StatefulSets, and namespace management.
  • BS in Computer Science, Engineering, or a related field, or equivalent professional experience.

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