Sr. Software Engineer (Ai & Data Platforms)

As a senior-level Software Engineer, you will design, develop, test, document, improve, and maintain code mostly in Java and Python (and other languages as needed) that will help build world class AI and Data platforms. You will partake in every aspect of your projects, from planning to design to implementation and future iterations, and you will be encouraged to play an extended role in designing solutions. The ideal candidate is self-motivated, pro-active and results-driven. Attention to detail, dedication to providing high-quality solutions modeling engineering excellence, and ability to work towards on-time delivery of projects are all crucial qualities needed to work at Apple as a Software Engineer. The ideal candidate will also possess excellent communication and collaboration skills to work with various internal and external partners.

Minimum Qualifications
5 years proven experience developing software in a professional capacity.
5 years proven experience implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems, including proficiency in API implementation (e.g. REST, RPC, GraphQL, etc.).
5 years in building large scale distributed systems in Java/Python or similar languages
Proficient in SQL
5 years conducting performance analysis and troubleshooting large scale distributed systems
5 years proven experience with Java or Python, including proficiency in concurrency, memory management, and performance optimization techniques.
B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.

Preferred Qualifications
Proficiency in data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code.
Comfortable using CI/CD tools to build, test, deploy, and release containerized software applications on cloud-based Kubernetes (e.g. AWS EKS, GCP GKE, Azure AKS, etc.).
Experience working with Gen AI - building MCP server, Skills, CodAct, ReAct approaches.
Experience with distributed orchestration & computing systems (e.g. Airflow, Spark, Flink, etc.).
Knowledge of networking concepts & protocols (e.g. HTTP/HTTPS, CDN, edge computing, load balancing, OSI model, etc.).