Amazon Senior Security Engineer - AI/ML Threat Detection AWS 

United States, Virginia 

181115823

Key job responsibilities
- Research, identify, and prioritize security problems that can be detected using automation
- Develop detection prototypes for these security problems to enhance detection capabilities
- Identify opportunities to prevent security issues at scale
- Use models to uncover trends in structured and unstructured security data- Seek out, develop, and advocate for new technology to research, identify, and mitigate complex risksAbout the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of experience performing security investigations, detection engineering, threat hunting, and/or incident response in the context of large organizations
- Understanding of Tactics, Techniques, and Procedures (TTPs) used by threat actors or groups
- Knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow)
- An understanding of network and web related protocols (such as, TCP/IP, UDP, IPSEC, HTTP, HTTPS, routing protocols)
- Ability to develop code with at least one modern language, such as Python

- Experience creating threat detections in enterprise environments
- Experience with analytic development for endpoint and/or network security
- Experience using common cloud services (IAM, Lambda, EC2, VPC, S3) for security response and/or automation
- Experience with data science, machine learning, big data analytics, and/or streaming technologies (e.g., Kafka, Spark Streaming, Kinesis)
- Experience with Generative AI frameworks such as Bedrock, Huggingface, or LangChain
- Experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or AutoGluon
- Experience developing and running GenAI and/or ML models in production