AIML - Senior/Staff Infrastructure Engineer, ML Platform and Infrastructure (apple)
apple Seattle, United States
2024-09-29
Job posting number: #152347 (Ref:apl-200517813)
This Job Posting is Expired.
Job Description
Summary
The Data Platform team within the AIML organization powers analytics, experimentation, and ML feature engineering to power Siri, Search, and other ML features we all love in our Apple devices. The mission of the Data Platform org is to provide our engineers and data scientists an innovative, reliable, secured, and easy-to-use infrastructure for ingesting, storing, processing, and interacting with data and ultimately help the teams that build data-intensive applications be successful. You will work with many cross-functional teams and lead the planning, execution, and success of technical projects with the ultimate purpose of improving Siri and Search experience for Apple customers. We are looking for a Senior Data Infrastructure Engineer who is passionate in enhancing our data platform by building frameworks and architectures using cutting edge technology at every level of the technical stack. You will guide product and infrastructure teams to ensure user data security is a core component in every feature we ship. Are you passionate about building security-first data platform and solving data problems at scale? Come join us and be part of the Data Platform journey.
Description
You will be responsible for defining and driving the data security roadmap for our data platform, offering 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 INCLUDE:
- 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
We embrace the use of open source technologies including Kubernetes, Ranger for secured compute platform and Spark, Flink, Trino, Iceberg for data processing.
RESPONSIBILITIES INCLUDE:
- 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
View Orignal JOB on: italents.net
Minimum Qualifications
Key Qualifications
- 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
Preferred Qualifications
Education & Experience
BS, MS, or PhD degree in Computer Science or equivalent experience
Additional Requirements
- Bonus Experience:
- 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.
