Sr. Software Engineer - Data Infrastructure (ASE)

Apple Inc

Seattle, WA

Job posting number: #7213609 (Ref:apl-200535971)

Posted: January 25, 2024

Job Description

Summary
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV and Sports, Apple Music, Podcasts, and Books along with Cloud and Infrastructure Services platforms.

As part of Apple Services Engineering (ASE), you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem-solving. By focusing on and respecting the customer's needs, you'll be responsible for helping us build the technology that works for so many customers around the world.

We are looking for engineers who are passionate about crafting big-data products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fully fault tolerant.
Key Qualifications
  • Extensive experience designing, developing, and deploying large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS, GCP, etc.
  • Strong programming expertise in Go, Java, Scala, and scripting languages, preferably with critical, large-scale distributed systems.
  • Proficiency in Infrastructure as Code (IaC) tools.
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes).
  • Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and high availability
  • A learning attitude to continuously improve the self, team, and the organization
  • Deeply concerned about excellence and quality
  • Loves fast-paced environment and learning/leveraging new technologies
Description
We are a multifaceted Data Platform team - you'll lead the charge in crafting and implementing cutting-edge solutions for high-performance systems handling millions of online events and queries daily. You will at the forefront solving challenges that demand exceptional problem-solving skills. Your pivotal role involves shaping critical infrastructure, designing frameworks, and supporting services like structured and unstructured storage, caching, queueing, searching, and beyond. This is not just a job; it's an opportunity to drive innovation and make a lasting impact in a rapidly evolving landscape.

You'll apply your expertise in Java, Scala, and Go to architect and optimize high-performance systems. Dive into the world of Infrastructure as Code (IaC) and containerization, ensuring seamless deployment and scalability. Your skills in running low-latency environments will be essential for real-time responsiveness. As you navigate the data ecosystem, you will employ advanced analytics techniques using Spark and Flink, contributing to the intelligence behind our dynamic solutions. This role promises an exciting blend of cutting-edge technologies for engineers passionate about innovation!

We are looking for a strong, enthusiastic developer to join as a member of this group. You will have a tremendous amount of individual responsibility and influence over the direction of critical services for years to come.

You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity!

Here you’ll find that we:

• Have a peaceful work environment where you can choose when to socialize and when to focus.
• Provide technical guidance and mentorship as needed
• Have an encouraging and growth-focused workplace culture.
• Encourage you to use accrued vacation time and maintain a healthy work-life balance.
• Offer excellent benefits!
Education & Experience
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or equivalent professional experience.
Additional Requirements
  • Experience with the following are nice to have, but they are not required:
  • • Engineering modern Analytics and Data technologies like Spark, Flink, Iceberg, Trino, Jupyter, Druid, etc. at scale
  • • Contribution to Open Source projects
Pay & Benefits




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