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Performance Optimization Engineer

2 months ago


Austin, Texas, United States Apple Full time
Summary

At Apple, we strive to enhance the daily lives of individuals through innovative products. Our Advertising Platforms division enables users globally to access engaging and informative content on their devices while assisting publishers and developers in promoting and monetizing their creations.

Our advanced technology and services drive advertising at Apple. Our systems are designed for high performance, capable of managing substantial event volumes while establishing new benchmarks for effective advertising that prioritizes user privacy.

We are in search of a dedicated engineer who possesses the skills and enthusiasm to contribute to the development of our extensive platform. The Performance Quality Engineering (QE) team plays a crucial role in ensuring the health, monitoring, and scalability of our intricate systems, maintaining consistent performance.

Role Responsibilities

- Develop tools and frameworks that deliver real-time application performance metrics correlated with system metrics.
- Create automation frameworks that enable applications to proactively predict and mitigate system or infrastructure failures, ensuring resilience.
- Analyze source code, profiling data, and system metrics to diagnose performance challenges.
- Conduct experiments and benchmarks to evaluate the performance of complex distributed systems and identify performance issues.
- Collaborate with software teams to identify and resolve performance bottlenecks.
- Strategize and execute tests to assess low latency and high throughput applications.
- Design, prototype, and integrate solutions that yield measurable performance improvements in production settings.
- Create and implement frameworks for performance testing both online and offline systems.
- Work effectively with cross-functional teams to understand product requirements and devise performance testing strategies, including planning, execution, and monitoring of tests.
- Acquire the product knowledge necessary to assist in diagnosing production performance issues.
- Validate product features for production release and provide sign-off.

Key Qualifications

- Expertise in crafting performance test plans, defining strategies, and generating large datasets.
- Proficient in developing performance tests using open-source frameworks and capable of creating new frameworks based on specific requirements.
- Experience in load generation utilizing JMeter, Locust, and Gatling frameworks, including developing extensions or plugins.
- Strong understanding of HTTP client libraries, JDBC, gRPC, microservices architecture, and distributed systems.
- Familiarity with monitoring tools such as DataDog, Grafana, AWS CloudWatch, and Splunk or similar.
- Working knowledge of Kubernetes, Docker, Kafka, and AWS S3.
- Ability to thrive in dynamic, agile teams, driving and delivering highly scalable products to production.
- Excellent analytical, problem-solving, and communication skills.
- Experience with CI/CD Jenkins integration, AWS EMR & Spark SQL is a plus.

Education & Experience

- BS/MS in computer science or a related field.

Additional Requirements

Apple is an equal opportunity employer committed to fostering inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.