Software Development Engineer II, Bot Management, Amazon Traffic Engineering

The Bot Management team within Traffic Engineering uses machine learning to separate human visitors from automated traffic and to detect and stop abusive bots in real time. As a Software Development Engineer II on this team, you will design, build, and operate the ML platform that powers these detection systems. You will take models from research into production, own them through training, evaluation, serving, and monitoring, and partner with Applied Scientists to continuously improve detection accuracy and system performance. If you want to work on high-scale, adversarial problems where your code directly protects customers and platform integrity, this role is for you. Key job responsibilities - Design, build, and operate production ML platform components for real-time bot detection, owning the full lifecycle from model training and evaluation through serving and monitoring. - Write high-quality, maintainable code and actively participate in code reviews, providing meaningful feedback to teammates and coaching others on engineering best practices. - Partner with Applied Scientists to operationalize research models into reliable, low-latency production systems that process traffic at Amazon scale. - Identify root causes of operational issues and implement permanent fixes, continuously improving system reliability, latency, and detection quality. - Collaborate across Traffic Engineering and related teams to align technical solutions with platform-wide requirements for scalability, performance, and security. A day in the life You will start your day reviewing operational metrics and addressing any alerts from the systems you own. From there, you might pair with a teammate on a design review, prototype a new feature, or refine an existing service to improve performance. Between code reviews and mentoring sessions with newer engineers, you will document your designs and share knowledge so the team can move faster together. About the team The Bot Management team sits within Amazon's Traffic Engineering organization, which is responsible for keeping the platform safe and reliable at the scale of every incoming request. Our team applies machine learning to an adversarial problem space where threats evolve constantly, and we build the ML platform that makes rapid detection and response possible. We are a collaborative, technically rigorous group that values learning and inclusive problem-solving. If you are excited about protecting the customer experience at Amazon scale, we would love to hear from you. Minimum qualifications - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred qualifications - 3+ 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 - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, CA, Sunnyvale - 165,200.00 - 223,600.00 USD annually