Senior ML Infrastructure SRE - Jobs - Careers at Apple
- 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
- 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
- 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
- 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
- Kubernetes
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Required Skills
Required Languages
🇬🇧 English