New York, New York, USA
33 days ago
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 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 growing 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.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

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.

Who You Are: 

Experienced working with data for risk 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 on a distributed team. Comfortable working in a fast paced, high growth environment. Knowledgeable of abuse techniques in modern SaaS applications

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:$149,000—$190,000 USD

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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. Here are our Candidate Legal Notices for your reference.

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.

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