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Datadog

Senior Software Engineer - Threat Intelligence & Detection Experiences (TIDEx)

at Datadog

New York, United States



About Us:

TIDEx builds and operates the infrastructure, automation, and user experiences that power Datadog’s Detection Engineering & Threat Hunting, and Cyber Threat Intelligence teams. We don’t author detection rules or produce threat intelligence ourselves. Instead, we make these teams more effective by:

  • Supporting infrastructure, devops, and integration work.
  • Delivering automation that scales their workflows.
  • Designing intuitive, high-quality user experiences so security teams can focus on their core expertise without friction.

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:

  • Partner closely with security engineers and security researchers to ensure their workflows scale without infrastructure bottlenecks.
  • Operate adversary telemetry systems, such as deception environments and malware analysis platforms, to capture attacker behaviors.
  • Build and maintain intelligence infrastructure, including a Threat Intelligence Platform, pipelines for ingestion, enrichment, and access to threat information.
  • Design, build, and scale platforms that provide visibility into detection health, including dashboards and metrics to track coverage, drift, and readiness.
  • Provide and optimize data pipelines and datasets that defenders rely on for investigations and validation.
  • Develop automation that powers threat hunting at scale, enabling researchers to transform intelligence or reports into executable queries and workflows.
  • Advocate for modern engineering practices in Go, Python, and other languages in a microservice-oriented, multi-cloud environment.
  • Serve as a mentor to our team of software engineers

Who You Are:

  • A software engineer who can turn ambiguous requirements into production-ready systems.
  • Excited to collaborate with security engineers and security researchers, enabling them to focus on research and detection development by removing infrastructure and workflow friction.
  • Comfortable with cloud-native engineering (AWS, Azure, GCP) and orchestration (Kubernetes, GitLab CI/CD, infrastructure as code).
  • Experienced with large-scale data pipelines and observability platforms.
  • Fluent in one or more modern languages (Python, Go, Java, JavaScript, etc.).
  • Values collaboration, mentorship, and getting the right things done.

Bonus Points:

  • Experience building production-ready AI/LLM-powered systems, from prototypes to deployed services.
  • Breadth of experience across the full technology stack, including frontend development, command-line tools, and even web browser extensions.
  • Experience deploying and maintaining open source or commercial threat intelligence platforms.

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:
$187,000$240,000 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 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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