Senior Software Engineer, Apple Services Engineering

San Francisco, CA, US • Posted 3 days ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Privacy
  • Database
  • Collaboration
  • Machine Learning (ML)
  • Java
  • C++
  • C#
  • Multithreading
  • Kubernetes
  • Orchestration
  • Data Processing
  • Apache Spark
  • Apache Flink
  • Scala
  • Python
  • Time Series
  • Streaming
  • Data Analysis
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Cloud Computing

Summary

We're building the next generation of Apple's cloud services observability infrastructure. Join us to design and build the applications and services that give us deep insight into the operational health and efficiency of CloudKit, Apple's foundational privacy-focused database platform, and many other iCloud services.

Description

We're looking for engineers with a strong track record of building fault-tolerant, distributed systems, and the judgment to operate confidently in a complex, high-scale environment.

Our team builds the services and applications that power observability across CloudKit and other iCloud services, giving engineers the visibility they need to operate at massive scale. You'll work across the full lifecycle, from designing new services to deploying them on Kubernetes, while collaborating closely with infrastructure and platform teams whose systems you integrate with. We value engineers who can move fluidly between hands-on coding, architecture decisions, and production ownership, and who are curious about applying new techniques, including machine learning, to solve operational problems.

Minimum Qualifications

5+ years experience developing software in Java or a similar language (e.g., C++, C#, Go)

Strong background in designing, building, and operating backend services and distributed systems

Experience in programming in concurrent and multi-threaded environments

Experience deploying applications on Kubernetes or similar container orchestration platforms

Bachelor's degree in an engineering-related field or equivalent job-related experience

Preferred Qualifications

Familiarity with distributed data processing frameworks (e.g., Spark, Flink, Trino) and languages commonly used with them, such as Scala or Python

Familiar with time-series event data and systems

Familiar with distributed streaming architectures and data analytics at scale

Experience with observability concepts and frameworks

Experience using AWS, Google Cloud Platform, and cloud native technologies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 12c3f470d0baf7c0b0a70c5703c9e6e3
  • Posted 3 days ago
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