The Senior Software Engineer will be part of the Services Data Science & Analytics Platform Engineering team, focusing on designing, building, and operating backend services that support the data platform. This role is critical as it underpins the infrastructure relied upon by various teams within the organization. The ideal candidate will have a strong background in distributed systems and a passion for reliability and performance. They will work in a collaborative environment that values rapid iteration and independent thinking.

• 8+ years of experience building and operating high-performance, production-grade backend API services
• Expert proficiency in Python or Node.js/TypeScript, including async programming and framework-level development
• Demonstrated experience designing and operating distributed systems with strict reliability and latency SLAs
• Strong proficiency with API design and service-to-service communication patterns such as REST, gRPC, or GraphQL
• Hands-on experience with multi-layer caching architectures and cache invalidation strategies
• Extensive experience building systems that integrate with distributed and high-performance data stores like Snowflake or PostgreSQL
• Proficiency with Kubernetes and deployment management
• Strong observability practice using tools like Prometheus or Grafana
• BS in Computer Science, Engineering, or related field, or equivalent professional experience
• Experience building data catalog, metadata, or lineage systems
• Familiarity with Apache Iceberg or other open table formats
• Experience with CI/CD pipeline design in large engineering organizations
• Familiarity with AI/ML infrastructure or experience integrating LLM-powered capabilities into platform services
• MS in Computer Science, Engineering, or related field

• Design, build, and operate backend services for the data platform.
• Ensure high reliability and performance of distributed systems.
• Collaborate with cross-functional teams including product, design, and engineering.
• Implement API design and service-to-service communication patterns.
• Manage and optimize caching architectures and strategies.
• Integrate with high-performance data stores and ensure data reliability.
• Utilize Kubernetes for deployment and management of services.
• Maintain strong observability practices for system monitoring.
• Contribute to the development of data catalog and metadata systems.
• Participate in the design of CI/CD pipelines and enforcement gates.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.