Synced from Greenhouse · 10d ago

Staff Engineer

DatadogBoston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USAPosted Aug 13, 2026
Software EngineerStaff
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Mirrored from Datadog's own Greenhouse careers system · refreshed hourly

$244k–$305k
Compensation
447
Other open Datadog roles
10d ago
Posted
Greenhouse
Applicant system
Job descriptionReq 8128450

 

Datadog’s Cloud Networks team designs, builds, and maintains the production network infrastructure that powers everything built on top of our platform across AWS, GCP, Azure, and beyond. In this role, you’ll set technical direction for how we scale our multi-region, multi-cloud network footprint while keeping reliability and performance high. You’ll partner closely with internal teams and Cloud Service Providers to troubleshoot complex connectivity issues, integrate new networking capabilities, and improve the foundations our engineers and customers rely on. This is a high-impact opportunity to drive meaningful improvements in scale, resiliency, and cost efficiency.

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:

  • Design, build, and operate cloud network infrastructure across AWS, GCP, Azure, and Neoclouds in a multi-region environment.
  • Own connectivity between clouds, customers, and developers—ensuring scalable, secure, and reliable network paths.
  • Set clear technical direction for expanding data centers and evolving the network while maintaining stability and performance.
  • Improve cross-site and cross-region connectivity patterns to support Datadog’s growing platform needs.
  • Lead deep investigations into latency, packet loss, and connectivity failures – from pcap and path analysis through to escalations with cloud providers that may originate from customer support
  • Identify and deliver network-related efficiency and cost-saving opportunities that positively impact business health.

Who You Are:

  • You have deep networking expertise. You understand BGP, route policies, path selection, prefix advertisement, and what breaks in large-scale networking.
  • You have substantial experience designing, building, and evolving large-scale Software-Defined Networks—including interconnected environments.
  • You enjoy building software and reach for code as the default way to operate a network—performing as a strong developer in a networking-heavy domain.
  • You’re comfortable owning ambiguous problems, setting direction, and driving cross-team collaboration—especially with teams distributed across time zones.
  • You bring practical experience operating production infrastructure and responding to incidents (including participating in on-call ownership where applicable).

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:
$244,000$305,000 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. 

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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What applying to Datadog usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Datadog can generally expect a process consistent with common greenhouse-based hiring workflows. This typically starts with an online application and resume screen, followed by a recruiter phone screen to discuss background and role fit. Depending on the position, candidates may encounter multiple stages such as hiring manager conversations, technical or skills-based assessments, and panel interviews with cross-functional team members. Take-home exercises or case studies may be used for certain technical or analytical roles. Response times vary and communication is often managed through automated greenhouse notifications alongside recruiter outreach. Candidates should prepare to discuss relevant experience, technical competencies, and cultural fit, as final decisions commonly involve input from multiple interviewers before an offer is extended.

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Staff Engineer
Datadog · Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA
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