Sr. Applied Scientist, Infrastructure Reliability
Amazon.com Services LLC
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This role on the market
2,026 open infrastructure roles across 286 companies are on ApplySarthi right now, most of them in Bengaluru (68), Hyderabad (28), Delhi NCR (12).
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What infrastructure roles keep asking for: AWS (29%), System design (22%), Kubernetes (21%), Python (21%), Observability (19%), Terraform (15%), CI/CD (13%), Linux (12%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Java jobs · LLMs jobs
Amazon.com Services LLC has 4,316 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, System design, Kubernetes, Python. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you cut the cloud bill of a system without hurting it?
- How do you keep secrets and access safe in your infrastructure?
- Walk me through how code gets from a commit to production where you work.
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 Sr. Applied Scientist, Infrastructure Reliability at Amazon.com Services LLC interview free →Are you driven by innovation and complex problem-solving? At Infrastructure Reliability, we build scalable solutions that ensure the reliability of Amazon's critical systems. Our team develops and operates Basic qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Experience with time-series analysis, anomaly detection, or graph-based ML methods - Experience with agentic AI architectures, LLMs, or multi-agent systems - Experience applying ML to infrastructure, networking, or observability domains 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TN, Nashville - 158,800.00 - 214,800.00 USD annually
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Listed on amazon · posted 2026-09-17. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.