2 months ago
Responsibilities
- Design, operate, and optimize large-scale distributed systems supporting GenAI, ML, inference, and big data workloads.
- Build resilient infrastructure for data processing and machine learning in hybrid cloud environments.
- Own mission-critical platform components and improve their reliability, scalability, performance, and uptime.
- Diagnose and resolve complex production incidents and performance bottlenecks.
- Collaborate across engineering teams and communicate technical architectures and strategies to technical and non-technical stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent professional experience.
- Proficiency in at least one systems programming language such as Python, Go, or Java.
- Strong expertise in distributed-systems architecture, reliability, scalability, and containerization.
- Hands-on experience with cloud platforms and data-processing infrastructure such as Kubernetes, Spark, Flink, Ray, or Trino.
- At least 7 years of experience in SRE, DevOps, or infrastructure engineering managing distributed systems at scale.
- Familiarity with open-source codebases and the ability to understand and explain complex system implementations.
- Experience with big-data technologies such as Spark, Flink, or Iceberg and/or ML/AI platforms such as Ray, MLflow, or model-serving infrastructure.
- Strong foundational knowledge of Linux, databases, and security principles.
- Demonstrated experience designing and operating systems at scale, resolving production incidents, and optimizing reliability and uptime.
- Strong written and verbal communication skills.
Tech Stack
Categories
DevOpsSite Reliability
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.
