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Datadog

Software Engineer - SDLC Security - Public Artifacts

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Hybrid
Paris, Île-de-France
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Hybrid
Paris, Île-de-France

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We are looking for a Software Engineer for the SDLC Security team to help secure the supply chain of our public artifacts. This role will work on securing all source, build, publish and distribution channels used to push artifacts to customers, implementing secure by default practices and verifiable integrity claims.

You’ll join at an ideal time to make a big impact as the need for robust supply chain security is higher than it’s ever been. Datadog as a platform is growing fast and is used very widely, and the continued and exciting expansion of our product portfolio requires agile thinkers with a deep grounding in security fundamentals. You’ll be involved in every step of securing our supply chain and the platforms that push artifacts to customers—modeling risks for existing and new areas, designing solutions that mitigate threats to ourselves and our customers, and writing mission critical software that secures our software from source all the way to ours and our customer’s runtime.

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:

  • Analyze and enhance Datadog’s software supply chain security posture, including build-pipeline security, delivery mechanisms, and key and configuration management.
  • Partner with Senior Engineers in SDLC Security and our product teams to secure our customer facing distribution channels including NPM, PyPI, and Dockerhub.
  • Secure the critical PKI and signing infrastructure used to verify customer facing software
  • Reduce the attack surface of Datadog's client-facing software by mitigating build and supply chain risks.
  • Build provable integrity mechanisms throughout the entire supply chain, working from source management systems out through to node level configuration in Datadog’s compute.
  • Represent Datadog in the open source software supply chain security community.

Who You Are: 

  • Proven track record of designing and coding systems that help secure the software supply chain and SDLC systems, and are leveraged by multiple teams.
  • Track record of successfully driving security initiatives with leadership and engineering buy-in.
  • Dedication to staying current with the latest security best practices, technologies, and emerging threats.
  • You are fluent in one or more modern coding languages (Python, Go, etc.).
  • You are able to work closely with engineering and DevOps teams to integrate security seamlessly into the development process.
  • You are familiar with securing public distribution channels (e.g., PyPI, NPM, Dockerhub, ECR/GCR/ACR registries) and Kubernetes-based development.
  • You want to work in an environment with exciting challenges and opportunities to make an impact.

Bonus points:

  • Passionate about building products that engineers love and believe in the true outcome of DevSecOps.
  • Knowledge in or interest of Generative AI and LLM usage in the security space
  • Knowledgeable of cryptography protocols such as GPG or TUF and security frameworks such as slsa.
  • Familiar with continuous security scanning and fine-tuning SAST rules and methodology.

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.

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. 

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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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