Level

Datadog

Senior Platform Security Engineer

Datadog is hiring a Senior Platform Security Engineer in Paris, France. Level rates it ; you can apply on Datadog.

Level's read on this job

  • Little AI ●○○○ is how Level rates this cybersecurity role: aI is not part of the work.
  • The posting allows some remote work.
  • Tools and skills the posting cites include Kubernetes, Linux and Qemu.
  • Level classifies it as a senior role.
  • Level lists 433 other open roles at Datadog.

AI in this role

Senior Platform Security Engineer to secure cloud infrastructure and application components of the Datadog platform.

kuberneteslinuxqemukvm
cybersecuritycloud-securityinfrastructure-securitysaas-security

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: 

  • Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths.
  • Enable our engineers to build and ship secure solutions quickly.
  • Build and extend Datadog’s Platform Security solutions.
  • 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: 

  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience.
  • You don't want to just provide security recommendations, you want to help implement solutions to solve systemic issues.
  • Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment.
  • Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries.
  • You have hands-on experience with Linux kernel internals (namespaces, cgroups, capabilities, seccomp) and hardening techniques such as KASLR, module allowlisting, or kernel self-protection (KSPP) controls.
  • Experience with virtualization or microVM technologies (KVM, QEMU, Kata Containers, Firecracker, or similar) and the security boundaries a hypervisor provides versus a container.
  • Familiarity with container runtime internals (containerd, OCI runtimes, checkpoint/restore).
  • Demonstrated experience in securing the deployment & management mechanisms for software and infrastructure changes.
  • Familiarity with common security frameworks such as OWASP, MITRE ATT&CK, PASTA/STRIDE, CIS, etc.
  • You have prior experience in Software Engineering, Platform Engineering, Systems Engineering, Network Engineering, Cloud Security or Application Security.
  • Software engineering background with hands-on code review experience; Go, Python, or Rust
  • Experience with one or more Kubernetes PKI & network technologies (Consul, Envoy, Cilium, Vault, Istio, etc.) and eBPF-based tooling.
  • Experience with one of the major cloud providers (AWS, Azure, GCP) and Kubernetes.
  • Able to work both independently and collaboratively, willing to work in a fast paced, high growth environment.
  • You stay updated with modern security best practices, technologies and emerging threats.

 

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

#LI-Hybrid

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. 

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.

How we rate this

Senior Platform Security Engineer at Datadog rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

CybersecurityCloud SecurityInfrastructure SecuritySaas SecurityKubernetesLinuxQemuKvm

Also common in cybersecurity jobs at this level

Pay

Typical cybersecurity job
$159k

This posting doesn't list pay. Use the typical cybersecurity figure when pay comes up. See cybersecurity jobs

Questions you could be asked

  1. Tell me about a project where cybersecurity was part of your work. What did you do?
  2. Tell me about a project where cloud security was part of your work. What did you do?
  3. Tell me about a project where infrastructure security was part of your work. What did you do?
  4. Tell me about a project where saas security was part of your work. What did you do?
  5. Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cybersecurity, Cloud Security, Infrastructure Security, Saas Security, and Kubernetes. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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