Full Stack Engineer - Python

Job Summary

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apple s Information Systems and Technology (IST) organization. IST is the engine behind everything Apple does for customers and for the people who build for them. It s Apple s central nervous system. Supporting 2. 5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IST makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale Imagine what you could do here. AI Data Platforms (AiDP) is ISTs engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IST build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Role Overview

You will work within a globally distributed engineering organization supporting Finance business processes and analytical applications. The role involves building applications that bring together data from multiple enterprise sources and convert it into actionable reporting, analytics, insights, and decision-support capabilities. You will work closely with Finance business partners, data engineers, software engineers, product owners, architects, and other Apple engineering teams across India, the United States, Europe, and APAC. You should be comfortable working across the stack - from backend APIs and data processing to databases and modern user interfaces - while maintaining high standards for software quality, performance, reliability, security, and maintainability.

Responsibilities

• Design, develop, test, and operate scalable reporting and analytical applications for Apple Finance business users.
• Build backend services and APIs primarily using Python and FastAPI.
• Develop responsive, intuitive web applications using React, JavaScript/TypeScript, and Node. js.
• Design APIs and services that expose analytical, transactional, and financial data securely and efficiently.
• Build data processing and integration components connecting enterprise databases, data warehouses, APIs, and event-driven systems.
• Work with large datasets using SQL and modern analytical data platforms.
• Collaborate directly with Finance partners to understand business processes, reporting requirements, pain points, and opportunities for automation.
• Translate business requirements into well-designed technical solutions.
• Participate in architecture and detailed design discussions.
• Own assigned applications or components from design through development, testing, deployment, production support, and continuous improvement.
• Write clean, modular, reusable, and well-tested production-quality code.
• Perform thoughtful code reviews and help improve engineering standards across the team.
• Diagnose production issues and identify root causes rather than addressing symptoms only.
• Design systems with reliability, scalability, observability, performance, security, and maintainability in mind.
• Develop automated unit, integration, API, and UI tests.
• Contribute to CI/CD pipelines and modern deployment practices.
• Partner with data engineering teams on ingestion, transformation, data quality, and analytical datasets where required.
• Mentor interns and junior engineers through design discussions, code reviews, debugging, and engineering best practices.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.