The Team

The Detection Engineering Team is responsible for analyzing high-risk attack paths that could have substantial impact on Netflix and creating focused detections to reduce risk to the business. This is facilitated by partnerships with stakeholder teams, stakeholder domain expertise, and individual contributor creativity. DetEng is part of a larger Detection and Response team which includes Attacker Emulation, Security Incident Response and Threat Intelligence, and Enterprise Governance and Risk.

The Role

We are looking for an experienced candidate to help mature and expand our existing detection frameworks, platforms, and portfolio through the use of machine learning capabilities. The focus of our team is to create and continually improve detections that run on our own platforms to minimize risk to Netflix by proactively surfacing malicious or anomalous behavior to identify attacker presence or activity. We are a tight-knit team that provides value by creating compensating detective controls in order to shorten the time to discovery. Using a risk-based prioritization mindset, we focus our efforts to generate the largest impact and benefits for Netflix.

Desired background:

• You have at least 5 years of experience implementing anomaly detection methods at scale, ideally using ML, with a detection-as-code approach.

• You are passionate about using your software engineering skills in pursuit of reducing risk and improving the security space.

• You have experience working in a continuous integration and continuous delivery, cloud-based environment.

• You are familiar with working in an AWS environment. Experience with creating and tuning AWS detections is nice to have.

• You are adept at working with Python in a big data environment and are skilled at using SQL to query data. 

• Experience with Java and/or Jupyter Notebooks is a plus. 

• You are familiar with computer and information security concepts.

• You are comfortable working on ambitious projects with a very small, tight-knit team.

• You operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments.

• You have excellent written and verbal communications skills.