Stability Engineer
Apple
Stability Engineer
Job 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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- architecting data pipelinesintermediate
- developing data infrastructureintermediate
- processing telemetry and diagnosticsintermediate
- designing fault-tolerant systemsintermediate
- creating resilient analytics infrastructureintermediate
- building monitoring and observability toolsintermediate
- collaborating with engineering teamsintermediate
- implementing scalable solutionsintermediate
Required Qualifications
- Bachelor's degree or equivalent work experience in Computer Science (experience)
- Streaming development experience using Apache Kafka and Apache Flink (experience)
- Programming expertise using Java and Python (experience)
- Familiarity with big data processing engines like Apache Spark or Trino (experience)
- Proven knowledge of distributed systems, performant software engineering, and caching strategies (experience)
- Thrives in a collaborative environment and is comfortable working cross-functionally (experience)
- Able to navigate ambiguity with self-reliance and resourcefulness (experience)
Preferred Qualifications
- Familiarity with NoSQL databases like Cassandra (experience)
- Experience with cloud DevOps using platforms like Kubernetes and S3 (experience)
- Comfort with Java frameworks like Akka (experience)
- Some experience having developed native applications for Apple products (experience)
Responsibilities
- 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.
- **Architect** scalable data pipelines that process petabytes of telemetry and diagnostic data daily across Apple's product ecosystem
- **Build** fault-tolerant analytics infrastructure that enables engineering teams to identify and prevent stability issues
- **Collaborate** with cross-functional teams across Apple to gather requirements and deliver efficient data solutions
- **Optimize** data processing workflows to ensure rock-solid stability and performance at Apple scale
- **Troubleshoot** complex data pipeline issues and ensure consistent, stable data delivery
Tags & Categories
Answer 10 quick questions to check your fit for Stability Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Stability Engineer
Apple
Stability Engineer
Job 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. 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- architecting data pipelinesintermediate
- developing data infrastructureintermediate
- processing telemetry and diagnosticsintermediate
- designing fault-tolerant systemsintermediate
- creating resilient analytics infrastructureintermediate
- building monitoring and observability toolsintermediate
- collaborating with engineering teamsintermediate
- implementing scalable solutionsintermediate
Required Qualifications
- Bachelor's degree or equivalent work experience in Computer Science (experience)
- Streaming development experience using Apache Kafka and Apache Flink (experience)
- Programming expertise using Java and Python (experience)
- Familiarity with big data processing engines like Apache Spark or Trino (experience)
- Proven knowledge of distributed systems, performant software engineering, and caching strategies (experience)
- Thrives in a collaborative environment and is comfortable working cross-functionally (experience)
- Able to navigate ambiguity with self-reliance and resourcefulness (experience)
Preferred Qualifications
- Familiarity with NoSQL databases like Cassandra (experience)
- Experience with cloud DevOps using platforms like Kubernetes and S3 (experience)
- Comfort with Java frameworks like Akka (experience)
- Some experience having developed native applications for Apple products (experience)
Responsibilities
- 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.
- **Architect** scalable data pipelines that process petabytes of telemetry and diagnostic data daily across Apple's product ecosystem
- **Build** fault-tolerant analytics infrastructure that enables engineering teams to identify and prevent stability issues
- **Collaborate** with cross-functional teams across Apple to gather requirements and deliver efficient data solutions
- **Optimize** data processing workflows to ensure rock-solid stability and performance at Apple scale
- **Troubleshoot** complex data pipeline issues and ensure consistent, stable data delivery
Tags & Categories
Answer 10 quick questions to check your fit for Stability Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs