As a Platform Security Engineer you will partner with different stakeholders across the organization to secure our infrastructure and application components of the Datadog platform. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions solving systemic risks making the secure path easier and the insecure path harder.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
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Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths.
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Enable our engineers to build and ship secure solutions quickly.
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Build and extend Datadog’s Platform Security solutions.
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Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers.
Who You Are:
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You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience.
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You don’t want to just provide security recommendations, you want to help implement solutions to solve systemic issues.
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Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment.
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Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries.
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Demonstrated experience in securing the deployment & management mechanisms for software and infrastructure changes.
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Familiarity with common security frameworks such as OWASP, MITRE ATT&CK, PASTA/STRIDE, CIS, etc.
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You have prior experience in Software Engineering, Platform Engineering, Systems Engineering, Network Engineering, Cloud Security or Application Security.
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Software engineering background with hands-on code review experience; Go, Python, or Rust
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Experience with one or more Kubernetes PKI & network technologies (Consul, Envoy, Cillium, Vault, Istio, etc.).
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Experience with one of the major cloud providers (AWS, Azure, GCP) and Kubernetes.
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Able to work both independently and collaboratively, willing to work in a fast paced, high growth environment.
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:
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New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
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Continuous professional development, product training, and career pathing
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Intradepartmental mentor and buddy program for in-house networking
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An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
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Access to Inclusion Talks, our Internal panel discussions
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Free, global mental health benefits for employees and dependents age 6+
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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.
#LI-Hybrid
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 is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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.
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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.