Senior Performance Engineer, Efficiency Red Team
Amazon
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This role on the market
633 open performance roles across 162 companies are on ApplySarthi right now, most of them in Bengaluru (47), Hyderabad (23), Pune (8).
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What performance roles keep asking for: C++ (16%), Python (15%) — counted across their open postings here.
C++ jobs · Generative AI jobs · Java jobs · Rust jobs
Amazon has 14,204 open roles listed here.
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- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for performance roles keep coming back to C++, Python. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Performance Engineer, Efficiency Red Team at Amazon interview free →Are you the kind of engineer who obsesses over performance? Does the idea of hunting for hidden waste across the world's largest infrastructure and turning those findings into hundreds of millions of dollars Basic qualifications: - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 7+ years of professional experience in systems programming, performance engineering, or infrastructure optimization - Deep proficiency in at least one systems language (C, C++, Rust, or Java) - Hands-on experience with performance profiling and analysis tools - Demonstrated ability to conduct root cause analysis across multiple layers of the compute stack (CPU, memory, storage, networking) - Track record of delivering measurable performance improvements in production systems at scale Preferred: - Bachelor's degree in computer science or equivalent - Experience with GPU profiling and optimization (CUDA, GPU memory management, inference pipeline tuning) - Familiarity with generative AI infrastructure including model serving, training pipelines, and token economics - Experience with language runtime internals (JVM garbage collection tuning, memory management design, or equivalent) - Background in capacity planning, fleet management, or infrastructure economics at hyper-scale - Contributions to open source performance tools or published research in systems performance Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually CAN, ON, Toronto - 150,700.00 - 251,700.00 CAD annually
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Listed on amazon · posted 2026-09-22. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.