Software Engineer, Reliability Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $176k
$131k most similar roles pay here $217k

This listing doesn't post a salary. Most similar roles pay $142,400–$208,800.

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 2240 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1831 roles with salary data.

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At a glance

TL;DR · Software Engineer, Reliability Engineering

As a Software Engineer, Reliability Engineering, AiDP, you will join the Applied Machine Learning team within the AI and Data Platform organization. You will build, enhance, and maintain multi-tenant systems while operating, scaling, and optimizing high-throughput, highly concurrent services across hybrid cloud environments. Your daily work involves managing projects through their full lifecycle, from initial design discussions to final release delivery, while diagnosing and resolving complex production challenges to improve uptime for mission-critical services. You will work with GenAI, ML, Inference, and Big data platforms using technologies including Python, Java, or Go, along with Kubernetes, Docker, and CI/CD pipelines. Additional technical tools include Spark, Flink, Iceberg, Ray, and MLflow. The role focuses on solving complex problems related to scale and performance across diverse open-source and cutting-edge technologies in the enterprise ecosystem.

What does a Software Engineer earn in Texas?

Median $178175 from 145 postings across 37 companies.

See salary data

What you'll do

  • Build, enhance, and maintain multi-tenant systems using diverse technologies.
  • Lead projects through the full lifecycle from initial design to final release delivery.
  • Operate, scale, and optimize high-throughput and highly concurrent services.
  • Diagnose, resolve, and prevent production and operational challenges.
  • Perform performance analysis and troubleshoot large-scale distributed systems.
  • Improve uptime and availability for mission-critical services.
  • Manage and deploy CI/CD pipelines for platform infrastructure.
  • Work with big data and GenAI technologies like Spark, Flink, Ray, or MLflow.

What we're looking for

  • BS/MS in computer science or equivalent experience.
  • 2+ years of programming experience in Python, Java, or Go.
  • 2+ years of experience with Kubernetes, Docker, or other container orchestration frameworks.
  • Ability to read and explain open source codebases (preferred).
  • Experience deploying and managing CI/CD pipelines (preferred).
  • Expertise in troubleshooting complex production issues and performing performance analysis on large scale distributed systems (preferred).
  • Experience with big data technologies like Spark, Flink, Iceberg or GenAI/ML tools like Ray, MLflow, and model serving (preferred).
  • Experience with Linux, database, and security concepts (preferred).

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