1 month ago
Shanghai, ChinaSenior
Responsibilities
- Design, build, operate, and support large-scale identity management platform services.
- Maintain high availability and reliability for authentication, authorization, provisioning, purchasing, subscription, and account lifecycle transactions.
- Manage infrastructure, capacity planning, disaster recovery, auto-failover, data replication, and system lifecycle operations across multiple data centers.
- Design observability, monitoring, logging, alerting, anomaly detection, and reliability metrics for infrastructure and application services.
- Drive incident and problem management, troubleshoot system bottlenecks and architectural challenges, and debug device-related issues using logs.
- Develop automation and CI/CD solutions, manage configuration and code deployments through user acceptance testing and production, and support release engineering.
- Maintain platform security, fraud-traffic controls, industry compliance, and critical audit requirements.
- Apply machine learning and Generative AI enhancements to improve operational efficiency.
Requirements
- At least 5 years of Site Reliability Engineering experience building, scaling, and operating large-scale distributed platform services.
- A bachelor’s degree in computer science or an equivalent field with 7+ years of experience, or a master’s degree in computer science or an equivalent field with 5+ years of experience.
- Strong experience designing, analyzing, and troubleshooting distributed systems and large-scale data-processing technologies.
- Proficiency in at least one programming or scripting language such as Python, Java, Go, Bash, or Ansible.
- Experience designing observability stacks using tools such as Prometheus, Grafana, Datadog, OpenTelemetry, or ELK.
- Experience with monitoring, logging, SRE principles, error budgets, and SLA, SLO, and SLI metrics.
- Experience with CI/CD pipelines, release engineering, DevOps practices, Git, Helm, CRD, and Infrastructure as Code.
- Experience with relational, NoSQL, and OLAP databases and event-driven architectures such as Kafka and RabbitMQ.
- Experience with on-call operations, incident management, problem management, post-incident reviews, and root-cause analysis.
- Understanding of security standards, policies, cryptography, authentication, OAuth, SAML, SSO, governance, and compliance.
- Experience leveraging machine learning or Generative AI for operational efficiency is preferred.
- Cybersecurity certification is preferred.
- Bachelor’s or master’s degree in computer science or equivalent practical experience.
Tech Stack
Categories
Site 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.