Amazon Senior Security Engineer AWS 

United States, Washington, Seattle 

151203766

Come and build innovative services that protect our cloud from security threats.Key job responsibilities
- Research, identify, and prioritize security problems that can be detected using automation.
- Develop detection prototypes for these security problems to enhance our detection capabilities.
- Identify opportunities to prevent security issues at scale.- Seek out, develop, and advocate for new technology to research, identify, and mitigate complex risks.About 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 the Mitre ATT&CK framework
- Experience developing and implementing security detections in cloud environments
- 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 Go, TypeScript, Python

- Experience leveraging native cloud telemetry (GuardDuty, CloudTrail, VPCFlow, R53 Resolver Logs) for detection engineering/incident response
- Experience using common cloud services (IAM, CloudWatch, EventBridge, Lambda, EC2, VPC, RDS, S3) for security response/automation
- Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Glue, EMR, Spark Streaming, and Kinesis)