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# Software Development Engineer - SRE

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Distributed Systems, Python (Programming Language), Machine Learning, Networking Basics, Azure Machine Learning, Software Engineering, Rust (Programming Language), Large Language Models, Swift (Programming Language), Generative AI, Information Technology, Machine Learning Operations, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_7a7fa88a541e89b17456f704ef1df5a3

## About the Role

* Experience with large scale distributed systems, especially ML infrastructure and services including LLMs, Generative AI, and transformers
 * Knowledge of core operating system principles, networking fundamentals, and systems management
 * Demonstrable fluency in at least one of Java, Python, Swift, Rust or GoLang
 * Awareness of key security principles including encryption, keys (types and exchange protocols)
 * Understanding of SRE principals including monitoring, alerting, error budgets, fault analysis, and automation
 * Strong sense of ownership, with a desire to communicate and collaborate with other engineers and teams
 * Ability to succinctly identify and communication technical and architectural problems, while working with partners and their team to iteratively find solutions, BS degree in computer science or equivalent field with 5+ years of experience

## Description

We are looking for an SRE with experience building and supporting machine learning (ML) infrastructure. You will apply SRE best practices to ensure the availability, reliability, and performance of our ML systems and services. You will actively engage with our development partners and product teams regularly so the ML services we well aligned with business needs., Support and maintain ML services by measuring and monitoring availability, latency, and overall system health

Deploy and support existing and new ML models and infrastructure

Provide insights to partner stakeholders through log and telemetry analysis

Maintaining documentation and automating manual processes where possible

Be part of an oncall rotation providing hands-on technical expertise during service impacting events

Collaborate with other engineers on code, infrastructure, and design reviews, and process enhancements