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Senior Infrastructure Engineer
2 months ago
We are seeking a highly skilled Senior Data Infrastructure Engineer to join our Data Platform team within the AIML organization at Apple. As a key member of our team, you will be responsible for defining and driving the data security roadmap for our data platform, ensuring the best data security control and governance across our stack at Apple scale.
You will collaborate with cross-functional teams of innovative software engineers, product managers, and engineering managers to continually enhance our security posture. We embrace the use of open source technologies, including Kubernetes, Ranger for secured compute platform, and Spark, Flink, Trino, Iceberg for data processing.
Responsibilities- Define and drive technical vision, roadmap, and strategy for data security of our platform.
- Participate in product design reviews to ensure security 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.
- Provide guidance and establish processes to ensure engineering excellence and operational sustainability with security compliance.
- Foster a healthy, inclusive, collaborative, and technology-driven culture.
- 10+ years of software development experience.
- Experience with commercial and/or open source large scale data processing, storage frameworks and platforms.
- Strong experience with infrastructure automation and provisioning, including Kubernetes/Terraform and observability tools like Prometheus and Grafana.
- Experience architecting, building and operating large scale data processing systems in the public cloud.
- Proficient in best practices and enforcement for data security and data governance.
- Excellent verbal and written communication skills, able to collaborate cross-functionally with program managers and engineering partners.
- Experience in influencing and driving key product innovations and opportunities across diverse collaborators.
- Experience working with or developing Large-language models (LLMs).
- Experience developing and optimizing algorithms that run efficiently on resource constrained platforms.
- Design, implementation and benchmarking/fine-tuning of ML/deep learning algorithms.
- Familiarity with GPU computing or ML modeling frameworks.
At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
We offer comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
