Datadog

The Opportunity

We’re looking for a Staff Software Engineer with deep expertise in ML infrastructure and evaluation to join Datadog’s AI Platforms team. This team is responsible for building the foundation that empowers AI and ML development across the company, enabling teams to prototype, evaluate, deploy, and monitor models at scale. From model experimentation to evaluation and inference, we’re designing the core building blocks that make AI reliable, observable, and performant across all Datadog products.

In this role, you’ll serve as a technical leader within the AI Platforms organization, with a particular focus on model evaluation. You’ll collaborate with AI researchers, platform engineers, and product teams to build scalable systems that support evaluation of model and agent at scale. We’re looking for a systems-minded engineer who understands ML fundamentals and thrives in fast-paced, high-scale environments.

At Datadog, we place value in ur 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:

• Act as a technical leader on the AI Platforms team, focused on building robust ML infrastructure and evaluation systems.
• Design and implement scalable, reproducible, and easy-to-use evaluation frameworks that will power the AI platform
• Build backend systems to power large-scale model experimentation leveraging Ray.io and Datadog in house tooling
• Develop tooling and infrastructure to support dataset versioning, model evaluation, and test set management across multiple use cases.
• Collaborate closely with AI researchers and application teams to enable rapid iteration and rigorous evaluation.
• Guide technical direction across multiple projects, ensuring scalability, reliability, and long-term maintainability.
• Mentor other engineers, contribute to design reviews, and help shape the culture of the AI Platforms team.

Who You Are:

• You have a BS/MS/PhD in Computer Science or a related field, or equivalent experience.
• 10+ years of relevant engineering experience, including backend systems and platform-level infrastructure.
• Deep experience building ML infrastructure or ML platforms that support training, evaluation, and deployment at scale.
• Strong understanding of machine learning principles and familiarity with model evaluation workflows and challenges.
• Proven ability to drive cross-functional initiatives and operate in high-ambiguity environments.
• Experience building and operating production-grade systems using modern cloud infrastructure (e.g., Kubernetes, GCP, AWS, etc.).
• You’re product-minded, collaborative, and thrive in fast-paced environments.

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:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business .
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
• Competitive global benefits
• Continuous professional development

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:

$234,000—$300,000 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.

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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.