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Senior Software Development Engineer-Maps Performance

AT Apple
Apple

Senior Software Development Engineer-Maps Performance

Cupertino, CA

Summary

Posted: Aug 29, 2024

Weekly Hours: 40

Role Number:200565446

Apple Maps team is looking for technically expert Performance Engineers to support the performance qualification, analysis and profiling of all Maps services. This consists of full-stack debugging, consulting with teams, and working in a multi-functional role to have change and impact along with evangelizing best practices/ approaches. This is challenging and requires both passion for solving difficult problems and a good skills for performance and scalability.

Description

You can make a difference in Apple Maps, across all of its services and the customers that use them by collaborating directly with software teams, influencing future architecture decisions, and contributing to internal tools. In this role, you will analyze the performance of all aspects of the system, root cause, and solve challenging problems. You will iterate with teams on integrating the necessary performance improvements into the shipping code. This position requires excellent communication skills to evangelize standard processes and work across many teams!

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  • 10+ Years of experience in Performance Engineering and development
  • Strong practical knowledge of Scala 3 (FP; JVM, JS, Native), Java, Python, & R
  • Experience working with distributed systems
  • Experience in Data Analysis, API and Client performance debugging
  • Strong understanding of Performance Methodologies and Processes.
  • Comfortable working knowledge of Linux, Java & gRPC
  • Knowledge of open-source performance tools like Gatling, JXRay, etc.
  • Experience with Cloud Computing platforms (particularly k8s) is a plus.
  • Excellent written and oral communication skills are a must

Preferred Qualifications

  • Comfortable with SQL and NOSQL data-stores
  • Experience using some sort of Queue or Key-Value Store (Redis, Kafka)
  • Understand how K8 works, scaling and resource management
  • Experience mocking services and understanding network infrastructure
  • Security (Auth, Authentication, HTTPS)
  • CDN knowledge
  • Typelevel stack:Cats, cats effect, fs2, http4s, calico
  • Experience with Machine Learning & PyTorch

Pay & Benefits

    At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

More

  • Apple is an equal opportunity employer that is committed to 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. Learn more about your EEO rights as an applicant.

Client-provided location(s): Cupertino, CA, USA
Job ID: apple-200565446-1
Employment Type: Other

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