Security Engineer - Trust & Safety

About Datadog

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The Opportunity

User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for a Security Engineer (all levels and backgrounds) to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll fight against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform.  

Our team covers a broad range of trust and safety related topics from threat detection, security research, engineering, incident response, data science, user engagement, privacy, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas.

You’ll join a fairly new security team at an ideal time for making a big impact. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly.

You will

• Identify potentially unwanted behavior and patterns of abuse on the platform, and take steps to moderate and restrict this behavior
• Fight against threats to user safety (such as account takeover, publicly leaked tokens, privileged access abuse, fraud, etc)
• Build and implement near real-time detection and prevention capabilities that protect our platform and our customers
• Build tooling to detect and prevent risks to user data, such as client-side attacks (ex.OWASP Top 10) and unintentional data leaks
• Work in a highly collaborative role, often engaging with engineering teams beyond security
• Research and monitoring emerging abuse trends, techniques, tactics, and procedures
• Craft novel security detection rules and alerts, and create associated incident response runbooks and tools
• Develop risk scoring algorithms to classify potentially risky behavior or activity on our platform
• Have a direct impact on users and the overall trust of our platform
• Participate in Datadog’s incident response efforts 

You Are

• Experienced working with data for analysis, threat detection, anomaly detection,  or monitoring purposes
• Fluent in one or more modern coding languages (Python, Go, JavaScript, etc.)
• Able to work both independently and collaboratively
• Comfortable working in a fast paced, high growth environment

Bonus Points

• Experience with AWS, GCP, or Azure
• Knowledge of abuse in modern SaaS applications

#LI-EK1

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.