Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• technical vision definitionintermediate
• architectural evolution leadershipintermediate
• strategic platform decision drivingintermediate
• analytics team mentoringintermediate
• technical direction influenceintermediate
• platform infrastructure buildingintermediate
• platform optimizationintermediate

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience (experience)
• 7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems (experience, 7 years)
• 2+ years of experience in technical leadership roles focused on platform engineering or infrastructure (experience, 2 years)
• Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) (experience)
• Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) (experience)
• Proven development skills building backend API services using Python (preferred) and/or JavaScript (experience)
• Practical experience with asynchronous programming, type safety, threading models, state machines and data structures (experience)
• Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake (experience)
• Experience with managed cloud platforms such as AWS, GCP, Azure (experience)
• Excellent communication skills to collaborate with non-technical audience (experience)

Preferred Qualifications

• Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) (experience)
• Track record designing client-agnostic APIs using REST and/or GraphQL (experience)
• Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc) (experience)

Responsibilities

• As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.
• As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development.
• You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements.
• Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation.
• You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple.

Tags & Categories