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

Apple· Software and Services
Apply on company site
Culver City, CA, Austin, TX, Cupertino, CA$175k - $308.5kfull-timePosted 3w ago

About the role

Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team responsible for designing, building, and operating backend services that form the foundation of DS&A's data platform, with a focus on reliability, performance, and scalability in a distributed analytics environment.

Responsibilities

  • Own core platform services end-to-end — from API design and query routing through caching infrastructure and data lineage — ensuring they perform reliably at scale and meet latency demands.
  • Collaborate closely with Data Engineering, Data Science, Machine Learning Engineering, Insight Engineering, and Core Engineering teams to shape scalability and durability of DS&A's analytical foundation.
  • Influence platform strategy over time, mentor engineers, and help drive the technical roadmap for how DS&A manages, governs, and serves its data at scale.

Qualifications

  • 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, type safety, and framework-level development (FastAPI, Express, or equivalent)
  • Demonstrated experience designing and operating distributed systems with strict reliability and latency SLAs
  • Strong proficiency with API design and service-to-service communication patterns (REST, gRPC, GraphQL, or equivalent)
  • Hands-on experience with multi-layer caching architectures (in-process, Redis, or similar) and cache invalidation strategies
  • Extensive experience building systems that integrate with distributed and high-performance data stores — Snowflake, Trino, Spark, PostgreSQL, or equivalent
  • Proficiency with Kubernetes, deployment, HPA, StatefulSets, namespace management
  • Strong observability practice, Prometheus, Grafana, OpenTelemetry, or equivalent
  • BS in Computer Science, Engineering, or related field, or equivalent professional experience
  • Experience building data catalog, metadata, or lineage systems
  • Familiarity with Apache Iceberg or other open table formats
  • Experience with CI/CD pipeline design and enforcement gates in large engineering organizations
  • Familiarity with AI/ML infrastructure or experience integrating LLM-powered capabilities into platform services

Skills

Required:Backend API developmentProgramming (Python or Node.js/TypeScript)Distributed systemsAPI design & inter-service communicationCaching architecturesData stores integrationKubernetes & infraObservability
Nice to have:Data governance / lineageOpen table formatsCI/CDAI/ML infrastructure

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • participation in Apple stock programs (RSUs, Employee Stock Purchase Plan)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

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