Software Engineer - Java

Summary

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. You bring passion, and dedication to your job and there's no telling what you could accomplish.

We are building the next generation systems powering Apple. Working alongside a talented team of engineers, our initiative is to build strategic Finance and Accounting capabilities to support Payments and Commerce at Apple. We enable the company to build first to market features that differentiate our products.

Description

We are looking for a team member with a strong foundation in computer science theory along with industry experience.

In this role, you will envision, design, develop, and deliver components of a well integrated, distributed system that will become the core financial capabilities for Apple. You have a proven record of writing Engineering proposals to solve complex problems by digging deep into a domain when needed, explaining them to different stakeholders and iterating them as you receive feedback.

You also have a track record of building out these proposals and turning them into product features

Minimum Qualifications

• Experience in designing, implementing & supporting highly scalable systems and services in Java, Kotlin and/or other JVM-based languages
• Sound understanding of Financial Engineering and how payments/commerce transactions are processed through systems to reflect their Accounting and Financial impact
• Experience with different data store technologies(SQL, NoSQL)
• Understand Engineering concerns like reliability, scale, availability, accuracy etc that are particularly important for Payments
• Self-starter with strong customer and product focus, and a desire to gain awareness of an eco system and how systems collaborate
• Ability to communicate thoughtfully, leverage problem-solving skills, build a learning mindset and establish long-term relationships
  
  

Preferred Qualifications

• Practical experience with Postgres, DynamoDB
• Public cloud platforms (AWS, GCP, etc)
• Deployment experience using Docker and Kubernetes
• Familiarity with data structures, data modeling, and software architecture