Senior ML Infrastructure SRE

Apple; Austin (TX); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Apple, Inc. in Austin, TX is seeking an experienced Site Reliability Engineer to join the ML Infrastructure team.

You will help manage Apple’s large ML compute platform, multi-cloud storage, and caching solutions, ensuring high availability and efficiency across the Apple ecosystem. You will design, deploy, and operate scalable systems with Kubernetes mastery, automate pipelines, and collaborate across open-source tools and internal services to keep services resilient across time zones and cloud

Qualifications

• 5+ years building, operating and scaling large applications in cloud environments.
• Deep expertise in Kubernetes, including EKS, with hands-on experience.
• Proficiency in Python, Go, or Rust for developing tooling and services.
• Experience with object storage technologies (e.g., S3) and networking.
• Strong Linux internals knowledge and distributed systems design.

Responsabilités

• Participates in on-call rotations and supports global operations across time zones.
• Designs, builds, and operates scalable infrastructure for ML workloads.
• Automates deployment, monitoring, and incident response across clusters.
• Collaborates with open-source and internal tools to improve reliability.
• Guides teams with best practices for large-scale distributed applications.

Connaissances

Kubernetes

EKS

Python

Go

Rust

Object storage

Networking

Linux

Distributed systems

Outils

Spinnaker

Helm

Flux

Description du poste

Austin, Texas, United States Software and Services

At Apple, we don’t just build products — we create transformative experiences that have reshaped entire industries. Our innovation is driven by the diversity of our people and their ideas, inspiring everything we do. Imagine the impact you could make. Join Apple and help us leave the world better than we found it. The ML Infrastructure team is responsible for managing Apple’s largest ML compute platform, multi-cloud storage abstraction and caching platform, which supports critical machine learning training workloads that power user-facing features across the Apple ecosystem. Operating across both first-party and third-party cloud environments brings complex and unique challenges. As a Site Reliability Engineer (SRE) on the ML Infrastructure team, you’ll be expected to address these challenges through a strong foundation in cloud object storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes. Our team oversees the full infrastructure stack — from low-level nodes to the complete network architecture — ensuring our platform remains highly available, resilient, and efficient at scale.

Description

We are seeking an experienced Software and Systems Engineer to join our dynamic team. This role demands a proactive mindset, technical excellence, and a collaborative spirit.

The ideal candidate will demonstrate:

• Strong critical thinking and a high degree of individual accountability
• Effective communication and collaboration skills
• A genuine passion for Infrastructure as a Service (IaaS)
• A commitment to automation and operational efficiency
• Ownership of projects from design through delivery
• A solutions-oriented approach, coupled with the ability to gain alignment on technical direction
• Consistent and timely execution of design implementations aligned with project objectives
• The ability to provide constructive technical feedback, fostering team-wide growth and continuous improvement

Responsibilities

• Participates in a rotating on-call schedule, including occasional weekend
• coverage when necessary
• Currently headquartered in Cupertino, with active expansion in Bangalore to
• support global operations across time zones
• Leverages a diverse stack including open-source tools, commercial solutions,
• and internally developed systems
• Encourages open dialogue, values strong ideas, and recognizes impactful results

Minimum Qualifications

• 5+ years experience in building, operating and scaling a large application in a
• private, public or hybrid cloud environment
• Deep expertise in Kubernetes, with hands-on experience using platforms such
• (EKS)
• Proficient in designing, developing, and releasing code in languages such as
• Python, Go, or Rust
• Practical experience with object storage technologies, including Amazon S3
• Strong background in designing and troubleshooting complex networking
• issues in both public and private cloud infrastructures
• Solid understanding of Linux internals, standard networking protocols, and
• distributed systems architecture

Preferred Qualifications

• Proven drive to automate manual operations and enhance processes through
• Strong understanding of best practices for deploying large-scale, distributed
• applications
• Hands-on experience managing diverse system environments using
• configuration management tools or software delivery platforms such as
• Spinnaker, Helm, or Flux
• Demonstrated expertise in deploying, supporting, and monitoring both new
• and existing services, platforms, and application stacks
• Solid familiarity with container orchestration and management using

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools.

By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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