Site Reliability Engineer, AiDP Production Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 48 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $181k

$133k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $147,075–$214,000.

Based on 238 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 · Site Reliability Engineer, AiDP Production Engineering

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Site Reliability Engineer, AiDP Production Engineering joins the Production Engineering team within the AI and Data Platform organization to manage real-time, near real-time, and batch analytical solutions. This role involves configuring, tuning, and ensuring the resilience of multi-tiered systems across bare-metal and cloud environments to support critical business functions like sales, finance, and marketing. You will build automation for self-healing systems, develop monitoring tools for low-latency applications, triage incidents, and perform root cause analysis. The work involves managing data pipelines and infrastructure using technologies including Kafka, Spark, Flink, Iceberg, Airflow, Kubernetes, AWS, GCP, Snowflake, Cassandra, SingleStore, and SAP HANA. Candidates should possess proficiency in Python or Java and experience with observability tools like Prometheus and Grafana to maintain high-performance systems while solving complex infrastructure challenges at scale.

What does a Site Reliability Engineer earn?

Median $186200 from 131 postings across 36 companies.

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Skills

Kafka Spark Iceberg Airflow AWS Kubernetes Python Java Flink Snowflake Cassandra SingleStore SAP HANA Prometheus Grafana CloudWatch Tableau GenAI ETL

What you'll do

Assess and select appropriate services and topologies across AWS, Baremetal, and Kubernetes based on performance and security requirements.
Build automation to create self-healing systems and improve overall infrastructure reliability.
Develop tools to monitor high-performance applications and alert on low-latency issues.
Troubleshoot complex network, system, and application-specific performance issues in distributed environments.
Triage production incidents based on business impact and implement immediate mitigation steps.
Conduct root cause analysis (RCA) and partner with engineering teams to prioritize and fix defects.
Support Java-based applications and Spark/Flink jobs across multi-cloud and bare-metal infrastructures.
Participate in an on-call rotation to provide 24/7 support for mission-critical services.

What we're looking for

BS/MS in computer science or equivalent experience.
4+ years of programming experience in Python or Java.
4+ years of experience in cloud-native services, including ETL frameworks like Apache Spark and Flink.
4+ years of experience in messaging systems (Kafka) and cloud infrastructure & services, AWS, GCP, and Kubernetes.
4+ years of experience in modern and distributed databases such as Snowflake, Cassandra, SingleStore, and SAP HANA.
Ability to troubleshoot complex production issues and perform root cause analysis for large-scale distributed systems.
Experience with observability tools like Prometheus, Grafana, or CloudWatch.
Experience using GenAI or automation tools for issue detection, alerting, or remediation.

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