Service Reliability Engineer- Apple Data Platforms
Core
Operate and support a massive multi-cloud data platform (Spark, Flink, Airflow, Trino, etc.) serving thousands of internal engineers building data and AI products at Apple.
Role type
Senior Site Reliability Engineer (Data Platforms)
Builds
Reliability, automation, and self-healing tooling for big data engines and catalog/governance layers.
Domain
Big Data & AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Site Reliability Engineering, Kubernetes, AWS services (IAM, EKS, RDS, S3), Big Data technologies (Spark, Flink, Airflow, Trino), observability (metrics, logging, tracing, SLOs), scripting (Shell, Python), incident response, customer support
Preferred skills
MCP-based tooling, ML lifecycle management, CI/CD pipelines, data pipeline orchestration, distributed-SQL engines, automation tooling, AI-assisted development tools
Technologies
Spark, Flink, Airflow, Trino, Kubernetes, AWS, Prometheus, Grafana, Splunk, PagerDuty, Glue Catalog
Responsibilities
Monitor and triage production/non-production environments; serve as primary point of contact for internal customers; own operational health of big data services as SME; partner with dev teams across time zones; build automation and self-healing tooling; identify and resolve production issues; champion customer success by helping teams adopt tools.
Seniority
Senior, hands-on IC
