Stability Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Fault-Tolerant Systems, Telemetry Processing, Analytics Infrastructure, Monitoring Tools, Observability Tools, Distributed Systems, Software Engineering, Caching Strategies, Java, Python, Apache Kafka, Apache Flink, Apache Spark, Trino, NoSQL Databases, Cloud DevOps

Industry

Computers and Electronics Manufacturing

Description

Join Apple's Data Analytics team as a Software Engineer and build the data infrastructure that ensures world-class product stability. You'll architect and develop mission-critical data pipelines that process telemetry and diagnostics at unprecedented scale, enabling engineering teams across Apple to deliver stable, high-quality experiences to millions of users worldwide. Our platform serves as the foundation for data-driven stability improvements across Apple's entire product ecosystem. DESCRIPTION Your work will span the full spectrum of data engineering challenges—from designing fault-tolerant systems that process massive volumes of system telemetry, to creating resilient analytics infrastructure that enables teams to identify and prevent stability issues before they impact users. You'll collaborate extensively with platform and product engineering teams across Apple to understand their diagnostic data needs and implement efficient, scalable solutions that surface actionable insights. This includes building monitoring and observability tools that maintain system health across diverse computing environments, while ensuring your data pipelines operate with the rock-solid stability that Apple's reputation demands. MINIMUM QUALIFICATIONS Bachelor's degree or equivalent work experience in Computer Science Streaming development experience using Apache Kafka and Apache Flink Programming expertise using Java and Python Familiarity with big data processing engines like Apache Spark or Trino Proven knowledge of distributed systems, performant software engineering, and caching strategies Thrives in a collaborative environment and is comfortable working cross-functionally Able to navigate ambiguity with self-reliance and resourcefulness PREFERRED QUALIFICATIONS Familiarity with NoSQL databases like Cassandra Experience with cloud DevOps using platforms like Kubernetes and S3 Comfort with Java frameworks like Akka Some experience having developed native applications for Apple products

Responsibilities

You will architect and develop mission-critical data pipelines that process telemetry and diagnostics at scale. Collaborate with engineering teams to implement scalable solutions that surface actionable insights.