Amazon Senior Security Engineer AWS 

Ireland, Dublin 

955576482

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- 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
- Successful applicants must have the legal right to work in Ireland. Amazon will also provide relocation support for successful applicants relocating within the European Union.

- 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)