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Datadog

Staff Software Engineer – Cloud Foundations

Sorry, this job was removed at 04:07 p.m. (EST) on Tuesday, Mar 03, 2026
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Hybrid
New York, NY
234K-300K Annually
Easy Apply
Hybrid
New York, NY
234K-300K Annually

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As an Engineering Manager, you will lead the Evaluation & Annotation team, define technical roadmaps, and oversee software engineering projects, ensuring quality and team growth.
Top Skills: AICodingData EngineeringInfrastructure

Datadog’s Cloud Foundations group is seeking a Staff Engineer to help scale and evolve the critical infrastructure services that power our global platform. This is a high-impact role focused on the architecture and evolution of our identity control plane and secrets management systems. You’ll partner with engineering leadership and peers across the organization to shape how Datadog secures and authenticates workloads, moving beyond basic delivery to drive architectural direction in authorization, certificate management, and access control.

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:

  • Contribute deeply to the architecture and implementation of high-leverage components, specifically focusing on cloud identity, secure access, and authorization mechanisms
  • Collaborate directly with engineering teams to audit, refine, and elevate reliability and operational practices specifically related to authn/z
  • Help lead the shift from infrastructure delivery to a platform and internal product model, bringing clarity to user needs and surfacing high-impact opportunities
  • Work with cross-functional partners to define golden paths, self-service capabilities, and guardrails that reduce toil while preserving security, governance and performance
  • Engage in collaborative technical design and mentorship across a distributed organization of engineers

Who You Are:

  • Experienced staff-level engineer with a track record of technical leadership in infrastructure, reliability engineering, or platform development
  • Skilled at partnering with teams to improve engineering processes and shipping high-quality code that supports reliability goals
  • Comfortable navigating and influencing across domains, including engineering, product, and technical program management
  • Strong background working with cloud identity and authorization (OIDC, OAuth, PKI); bonus if you’ve worked across multiple cloud providers (AWS, GCP, Azure, etc.)
  • Proficient with Kubernetes and familiar with operating infrastructure in production at scale
  • Comfortable learning new tools and systems; able to balance hands-on implementation with broader strategic thinking
  • You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
  • Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

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:

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture

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:
$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. 

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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Datadog New York, New York, USA Office

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