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Sr. Software Development Engineer, AWS Security

Amazon Web Services, Inc.

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What development roles keep asking for: AWS (15%), Java (14%), C++ (13%) — counted across their open postings here.

Software Development Engineer jobs in the United States · Remote Software Development Engineer jobs · AWS jobs · LLMs jobs · Machine learning jobs

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Interviews for development roles keep coming back to AWS, Java, C++. Practise those questions before you sit with Amazon Web Services, Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services, Inc.?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. How do you keep secrets and access safe in your infrastructure?
  4. Walk me through how code gets from a commit to production where you work.
  5. Tell me about an outage you handled. What did you learn from it?

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At Amazon, Security is our highest priority. Are you interested in shaping the future of security for AWS, our customers, and the broader open source community? Do you want to be part of building something Basic qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 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 - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Experience contributing to open source projects (e.g., submitting pull requests, reviewing code, filing or triaging issues) and driving features or fixes upstream into third-party open source projects used in production systems. Preferred: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience maintaining or co-maintaining an open source repository, including issue handling, release management, and community moderation. - Experience with open source security practices such as vulnerability disclosure, dependency auditing, or the use of AI to analyze and remediate vulnerabilities. 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, VA, Herndon - 168,100.00 - 227,400.00 USD 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 Web Services, Inc., not by us.