Senior Security Engineer - Trust & Safety

Boston, MA, United States, New York, NY, United States, Remote - US

Full Time Senior-level / Expert
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Posted 2 weeks ago

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.

 

By the way, we know it's tough, but please try to avoid the confidence gap. You don't have to match all the listed criteria or areas of expertise to be considered for this role.

 

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 mitigation strategies that protect our platform and our customers
  • Build tooling to detect and prevent risks to user data, such as client-side attacks (ex. Magecart) 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 

 

Requirements

  • You have experience working with data for analysis, threat detection, anomaly detection,  or monitoring purposes
  • You are fluent in one or more modern coding languages (Python, Go, JavaScript, etc.)
  • You are able to work both independently and collaboratively
  • You want to work in a fast, high growth environment

 

Bonus Points

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




































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 Team

The Fraud & Abuse prevention group works within the Security Engineering organization to protect against threats that challenge the safety of our users and the integrity of our platform.

 

The Opportunity

You will take a data-centric, highly scalable approach to identifying and stopping fraud and abuse actors on Datadog’s platform. You will have a direct impact on the safety and security of our platform and our users, and have a chance to work cross-functionally with other departments including the broader Security Engineering organization, Product, Engineering, Compliance, and Customer Support.

 

You will

  • Be part of a fairly new security team building from the ground up
  • Build novel detection capabilities to uncover patterns of fraud, abuse and other security threats that affect our platform and users
  • Use custom and third party tools to detect and prevent threats to end user accounts
  • Design alerts and playbooks to automate response efforts
  • Work cross-functionally to implement near real-time detection and mitigation strategies that protect our platform and customers
  • Research and monitor for existing and emerging abuse trendsemerging trends, techniques, tactics, and procedures related to platform abuse and threats to our customers
  • Monitor performance and efficacy of existing alerts, playbooks, and detection capabilities
  • Participate in Datadog’s security incident response efforts


Requirements

  • You have experience working with data for analysis, anomaly detection, and monitoring purposes
  • You are fluent in one or more modern coding languages (Python, Go, JavaScript, etc.)
  • You have experience in development, scripting, or automation
  • You want to help keep our platform and our end users safe
  • You are able to work both independently and collaboratively
  • You want to work in a fast, high growth environment


Bonus Points

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

 

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.

Job tags: Automation AWS Azure C Compliance Go Incident response JavaScript Python SaaS Threat detection
Job region(s): North America Remote/Anywhere
Job stats:  16  3  0
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