Amazon GuardDuty is a customer facing threat detection service that was built to protect applications and services running in AWS. The service processes trillions of events and applies advanced analytics and machine learning to detect threats. https://aws.amazon.com/guardduty/
The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture.
Key job responsibilities
- Design, build, and operate large-scale, distributed security detection systems.
- Collaborate with applied scientists and security researchers to transform research outcomes—such as anomaly detection methods and large language model (LLM)–based approaches—into scalable, production-ready systems.
- Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support.
- Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration.
- Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load.
- Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues.
About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our principal engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
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
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- Master's degree or above in Math, Statistics, Computer Science, or related Science field, or experience implementing algorithms using both toolkits and self-developed code
- Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving
- Experience with AWS, Azure, or Google Cloud technology
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience designing, building, operating, and managing large-scale distributed systems or web services
- Experience with security and systems that handle sensitive data
- Experience in ML and MLOps in production
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, NY, New York - 184,900.00 - 250,200.00 USD annually