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Senior Data Infrastructure Engineer

2 months ago

Cupertino, California, United States Apple Full time

About the Role

We are seeking a highly skilled and experienced Senior Data Infrastructure Engineer to join our Data Platform team at Apple. As a key member of our team, you will be responsible for defining and driving the infrastructure roadmap for our data platform, ensuring the adoption of our data platform is done in a security-compliant manner, and collaborating with cross-functional teams to ensure operational efficiency is integral to every feature we launch.

Responsibilities

  • Define and drive technical vision, roadmap, and strategy to manage GPU infrastructure of our platform for analytical and ML use cases.
  • Participate in product design reviews to ensure performance optimization and monitoring is a core component of design.
  • Collaborate with stakeholders and cross-functional leaders in engineering, product, and operations across Apple to ensure the adoption of our data platform is done in a security-compliant manner.
  • Liaison and coordinate with Corporate Information Security group for reviews, risk assessment, vulnerability treatment, security patches, etc.
  • Lead and mentor new hires or junior engineers to ensure engineering excellence and operational sustainability with security compliance.
  • Foster a healthy, inclusive, collaborative, and technology-driven culture within the team.

Requirements

  • 10+ years of software development experience with a strong background in large-scale data processing, storage frameworks, and platforms.
  • Experience with commercial and/or open-source large-scale data processing, storage frameworks, and platforms such as Kubernetes, Spark, Flink, Trino, Iceberg, and Ray.
  • Strong experience with infrastructure automation and provisioning including Terraform.
  • Experience architecting, building, and operating large-scale data processing systems in the public cloud.
  • Proficient in best practices and enforcement for data security, automation-driven, proactive monitoring with a strong understanding of security compliance.
  • Excellent verbal and written communication skills with the ability to collaborate cross-functionally with program managers and engineering partners.
  • Experience in influencing and driving key product innovations and opportunities across diverse collaborators.

Preferred Qualifications

  • Familiarity with GPU computing or ML modeling frameworks is strongly preferred.
  • Experience working with or developing Large-language models (LLMs) is a plus.
  • Design, implementation, and benchmarking/fine-tuning of ML/deep learning algorithms experience is highly valued.
  • Experience with observability tools like Prometheus and Grafana is a plus.

About Apple

At Apple, we are committed to creating innovative products and services that enrich people's lives. We are a company that values diversity, equity, and inclusion, and we strive to create a workplace that is welcoming and inclusive for all employees. We offer a comprehensive benefits package, including medical and dental coverage, retirement benefits, and a range of discounted products and services. We also offer opportunities for professional growth and development, including training and education programs.