Site Reliability Engineer, Apple Data Platform
Core
Operate and support a massive multi-cloud data platform powering internal data/AI products, serving as the primary point of contact for internal customers to resolve incidents and ensure reliability.
Role type
Senior Site Reliability Engineer (Data Platform)
Builds
Reliable multi-cloud infrastructure, big data engines (Spark, Flink, Airflow, Trino), and ML/AI platform services for internal data engineering teams.
Domain
Big Data, Cloud Infrastructure, ML/AI Platform Operations
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, AWS services (EKS, RDS, S3, IAM), Big Data technologies (Spark, Flink, Airflow, Trino), Observability (Prometheus, Grafana, Splunk, PagerDuty), Python, Shell scripting, Database query tuning, SRE principles
Preferred skills
MCP-based tooling, ML lifecycle management, CI/CD pipelines, Data pipeline orchestration, AI-assisted development tools
Technologies
Spark, Flink, Airflow, Trino, Kubernetes, AWS, Prometheus, Grafana, Splunk, PagerDuty, Python, Shell
Responsibilities
Operate and triage production/non-production environments for data processing and ML/AI services; Serve as primary point of contact for internal customers during incidents; Own operational health of big data platform services as SME; Build automation and self-healing tooling; Partner with dev teams to establish observability benchmarks; Identify and resolve production issues.
Seniority
Senior, hands-on IC
