Site Reliability Engineer, AiDP Production Engineering

Apple Inc

Confirmed live today Trusted

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Work type
On-site
Location
Austin, TX
Posted
94 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $179k
$132k $235k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,900–$215,000.

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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Site Reliability Engineer, AiDP Production Engineering

The Site Reliability Engineer, AiDP Production Engineering joins the Production Engineering team within the AI and Data Platform organization. This role involves configuring, tuning, and ensuring the resilience of complex, multi-tiered systems to maintain optimal performance and availability for real-time and batch analytical solutions. You will build automation for self-healing systems, develop monitoring tools for low-latency applications, and troubleshoot core network and system issues. Key technologies include Kafka, Spark, Flink, Iceberg, and Airflow, alongside AWS, Kubernetes, Snowflake, Cassandra, SingleStore, and SAP HANA. You will utilize Python or Java to support data pipelines and distributed databases. The work focuses on managing exabytes of data to power critical business functions in sales, operations, finance, marketing, and services through scalable infrastructure.

What does a Site Reliability Engineer earn?

Median $180200 from 121 postings across 36 companies.

See salary data

What you'll do

  • Assess and select appropriate services and topologies on AWS, Baremetal, and Kubernetes based on application requirements.
  • Build automation to enable self-healing systems and create tools to monitor high-performance, low-latency applications.
  • Troubleshoot application-specific, core network, system, and performance issues across distributed systems.
  • Triage production incidents, implement mitigation steps, and conduct root cause analysis to resolve defects.
  • Support Java-based applications and Spark/Flink jobs across Baremetal, AWS, and Kubernetes environments.
  • Partner with engineering teams to prioritize production defects and manage knowledge transitions for new production changes.
  • Participate in an on-call rotation to provide continuous support for scoped applications and services.

What we're looking for

  • BS/MS in computer science or equivalent experience.
  • 4+ years experience in cloud-native services, including ETL frameworks like Apache Spark and Flink.
  • 4+ years experience in messaging systems (Kafka) and cloud infrastructure & services, AWS, GCP, and Kubernetes.
  • 4+ years of experience in modern & distributed databases such as Snowflake, Cassandra, SingleStore, and SAP HANA.
  • 4+ years of programming experience in Python or Java.
  • Solid understanding of system design, data structures, and incident management best practices (preferred).
  • Ability to conduct performance analysis and troubleshoot large scale distributed systems (preferred).
  • Experience using GenAI or automation tools for issue detection, alerting, or remediation (preferred).

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