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Service Reliability Engineer- Apple Data Platforms

Apple· Software and Services
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Bengaluru, Karnataka, IndiaFull-timePosted 3d ago

About the role

Apple Data Platform SRE team operates a massive multi-cloud platform powering data and AI services for internal engineers. The SRE role focuses on operating and supporting big data platform services (e.g., Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services) with a customer-centric mindset, driving reliability, observability, automation, and collaboration with development teams to ensure scalable, reliable data engineering and analytics platforms.

Responsibilities

  • - Operate with a customer-centric mindset to screen, monitor, and triage production and non-production environments encompassing data processing, ML/AI, and multi-cloud infrastructure.
  • - Participate in a rotating on-call schedule across supported services, including occasional weekday and weekend coverage.
  • - Serve as a primary point of contact for internal customers seeking technical resolution — clearly communicating status, root cause, and next steps during active issues.
  • - Own the operational health of big data platform services as SME — driving reliability, support, and customer guidance.
  • - Partner with dev teams across time zones to own the customer experience for services — understanding architecture and establishing the observability benchmarks
  • - Build automation and self-healing tooling that reduce manual toil and scales the team's operational capacity.
  • - Identify, escalate, and resolve production issues to protect platform reliability and customer experience.
  • - Champion customer success by helping internal teams understand platform capabilities and adopt tools effectively.
  • - Collaborate with SRE and dev partner teams, engineering, and program management to align execution with team and org goals.

Qualifications

  • - Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
  • - 7+ years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
  • - Proficient in scripting languages (Shell, Python)
  • - Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
  • - Strong Experience with Kubernetes and AWS services- handling IAM (roles, policies, permission boundaries, KMS), EKS, RDS, S3 and cloud storage/networking fundamentals.
  • - Strong experience with implementing observability systems and practices: metrics, logging, tracing, alerting, SLOs, error budgets, and fault analysis at scale with tools like Prometheus, Grafana, Splunk, PagerDuty.
  • - Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-expert customers.
  • - Solid grounding in SRE principles, with prior on-call, production-support, or customer-facing support role experience.

Skills

Required:SRE / On-call experienceScripting (Shell, Python)Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks)Kubernetes & AWS (IAM, EKS, RDS, S3)Observability stack (Prometheus, Grafana, Splunk, PagerDuty)Communication skills
Last updated Oct 23, 2026. Interested? Apply on the company site.

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