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Site Reliability Engineer - ML, Apple Ads

Apple· Software and Services
Apply on company site
Hybrid (New York City, NY, United States)$150.4k - $225.3kfull-timePosted 1mo ago

About the role

The Site Reliability Engineering (SRE) team within Apple Ads ensures reliability, performance, and availability of ML platform and services at scale. Focus is on building and evolving the next generation of Apple Ads machine learning platform to enable fast, reliable, and scalable operations across AWS-based environments supporting transactional and analytical workloads. This role emphasizes building platform solutions (not just CI/CD) and automating manual processes to improve resilience and velocity.

Responsibilities

  • Build and operate distributed systems using AWS managed services such as EKS, ElasticCache and ML technologies like Ray over Kubernetes and NVIDIA Triton Inference Server.
  • Develop internal tooling and automation frameworks to improve infrastructure reliability, cost-efficiency, and operational visibility.
  • Collaborate with engineering teams to define infrastructure architecture, troubleshoot complex issues, and drive production excellence.
  • Design and manage Infrastructure as Code with Terraform, ensuring repeatable, secure, and scalable deployments.
  • Lead or participate in incident response, postmortems, and continuous improvement cycles to reduce future risk.

Qualifications

  • 3+ years of experience in internet-facing backend production systems, SRE or ML Operations focused roles on large scale distributed cloud infrastructure
  • Proven expertise with AWS-managed infrastructure
  • Familiarity with ML lifecycle and associated technologies such as NVIDIA Triton, AnyScale Ray, Apache Airflow etc.
  • Strong programming skills in at least one of: Python, Java, Rust, Go or similar languages
  • Hands-on experience with Linux systems and deep knowledge of its internals.
  • Demonstrated experience with Infrastructure as Code, especially Terraform.
  • Strong foundation in SRE concepts: Monitoring, alerting, observability, Incident response and root cause analysis, Error budgets, SLAs/SLOs, and system reliability

Skills

Required:AWSPythonTerraformDistributed systemsKubernetes

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses—tuition
  • potential discretionary bonuses or commission payments
  • relocation may be possible
  • Employee Stock Purchase Plan participation and discretionary restricted stock units
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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