What are the responsibilities and job description for the Senior Security Engineer - AI/ML Threat Detection, AWS Security position at Amazon?
DESCRIPTION
Come and build innovative services that protect our cloud from advanced security threats!
As a Senior Security Engineer on our team, you’ll help build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure, including advanced persistent threats. You will use your expertise in generative AI and machine learning to translate complex security data into services that have broad impact for AWS Security. You’ll work with scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions at a massive scale. Our services protect the AWS cloud for all customers and help preserve our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!
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
- Mentor and develop teammates both technically and professionally
- 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.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including the cloud.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexibility is part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
