Data Infrastructure SRE Team
The SRE team is responsible for managing largest 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.
The team is expected to address these challenges through a strong foundation in cloud object
storage, data analysis, automation, collaboration, and advanced expertise in Kubernetes.
Description
Requirement is to have a seed time in UK led by a strong SRE Lead/hands-on technical

manager.

• 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

About the Overall Data SRE Team structure:

• Participates in a rotating on-call schedule, including occasional weekend coverage when

necessary

• Currently headquartered in Cupertino, with active expansion in Bangalore and London 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 of the team.

• 5+ years experience in building, operating and scaling a large application in a private,

public or hybrid cloud environment

• Experience hiring and leading a team of engineers in their respective timezones
• Deep expertise in Kubernetes, with hands-on experience using platforms such as Google

Kubernetes Engine (GKE) or Amazon Elastic Kubernetes Service (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 or Google

Cloud Storage (GCS)

• 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 continuous

iteration

• 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 Kubernete

Job Type: Temporary
Contract length: 6 months

Experience:

• Data Infrastructure : 8 years (preferred)
• Kubernetes: 8 years (preferred)
• Python , GCS: 8 years (preferred)

Work authorisation:

• United Kingdom (preferred)

Please refer the Job description for details