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In this position, you will have an opportunity to join Apple Pay Performance Engineering team that fosters a culture of curiosity, innovation and continuous improvement. Working alongside dedicated engineers, you will be delivering blazing fast products with flawless user experience to hundreds of millions of customers around the world.

Description:

You will be part of the team that has a critical role in every aspect of the product, from planning to design to testing to release and support. As an essential contributor, you will be providing performance assessment, trade-offs and analyses data to the cross-functional teams to influence design and implementation choices. Actively participate in cross-functional meetings to communicate project status, highlight risks and offer mitigation strategies.

This position will provide you with:

• Unique performance challenges that impact customers around the world.

• Opportunity to collaborate with highly skilled cross-functional teams to build and ship great software.

• Freedom to take ownership and innovate techniques to make our products faster and efficient.

• Evangelize performance tools, techniques and best practices across Apple.

Preferred Qualifications:

Foundational knowledge of Data Science and Machine Learning technologies with applications in Performance Engineering.

Experience with SQL/NoSQL data-stores, Search, Caching and Messaging platforms.

Experience with Systems, Microprocessors, Runtime and Compiler performance analysis and tuning.

Familiarity with Python programming language.

Minimum Qualifications:

Ability to view Distributed Systems end to end and consider all aspects of Performance, Scalability and Resiliency across the stack.

Understanding of multi-tier architectures with expertise in one or more layers including Applications, Middleware, Operating Systems, Database and Network.

Hands on experience in performance testing, characterization, analysis and scaling of Server applications and technologies in on-premise and AWS Cloud environments.

Proven ability in implementing load generation and benchmarking solutions that quantitatively summarize System performance.

Ability to employ Observability platforms and other tools such as Profilers to analyze and root cause performance bottlenecks.

Expertise in either Java or Kotlin programming languages.

Own and drive issues concerning user experience to resolution.

Ability to communicate thoughtfully, demonstrating problem-solving skills and a learning attitude to build long-term relationships.

BS or MS in Computer science or equivalent experience

5+ years of professional experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .