Sr SW Engineer (Java - Distributed Systems), AiDP- post

The people here at Apple don’t just build products - we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. A passion for product ownership and track record will prove critical to success on our team. Be ready to make something extraordinary when here. Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis? If so, Apple’s AI & Data Platform (AiDP) team is seeking a Software Engineer to work on building and scaling best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience. We are looking for a team member that will be able to think creatively and should have a real passion for building highly scalable applications with end users in focus. You will engage directly with key business partners to understand the business strategies and solution needs. You will drive and lead functional & technical discussions with development teams and expected to design and own end to end applications. You will enjoy the benefits of working in a fast growing business where you are inspired to "Think Different" and where your efforts play a key role in the success of Apple's business. This position is an extraordinary opportunity for a competent, expert, and results-oriented Software Engineer to define and build some of the best-in-class data platforms and products.

Description

We are seeking a Senior Software Engineer with deep expertise in Big Data, distributed systems, and open-source software development. This role is ideal for an experienced developer and architect who thrives on solving high-impact, large-scale technical challenges and influencing the broader technology strategy. You'll drive technical decisions across our suite of products, including data processing pipelines, insights portals, and model deployment frameworks.","responsibilities":"1. Drive Technical Strategy and Architecture: Lead the design and evolution of scalable, high-performance distributed systems, data infrastructure, and cloud-native architectures, influencing the broader technology strategy

and making critical technical decisions across the product suite.

2. Implement Advanced Data Processing Solutions: Develop and integrate streaming architectures, real-time data processing, and event-driven systems to handle large volumes of data efficiently and provide timely insights.

3. Ensure System Scalability and Resilience: Identify and solve complex technical challenges related to scaling distributed systems, optimizing performance, and ensuring the high availability and reliability of critical data infrastructure, leveraging cloud platforms (AWS, GCP, Azure) and Kubernetes.

4. Lead Open-Source Engagement and Mentorship: Champion open-source initiatives, contribute to relevant projects, and actively mentor junior and mid-level engineers, fostering a culture of technical excellence and collaboration within the team.

Preferred Qualifications

8+ years of experience in software engineering, with a proven track record of solving hard technical problems at scale

Strong leadership in driving open-source engagement, mentoring engineers, and fostering collaboration

Excellent communication skills with the ability to engage both technical and non-technical audiences

Strong experience with streaming architectures, real-time data processing, and event-driven systems

Hands-on expertise with Kubernetes for large-scale data processing

Minimum Qualifications

8+ years of experience in software engineering

5+ years of JAVA in production environment (industry)

Deep expertise in distributed systems, data infrastructure, and cloud-native architectures

Exceptional ability to design, build, and scale complex data systems such as distributed ingestion platforms, real-time streaming pipelines, and large-scale AI/ML-driven analytics ecosystems on AWS, GCP, or Alibaba Cloud

Bachelors Computer Science or related degree or relevant experience

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