The Fabric group builds and operates the core networking and connectivity infrastructure that powers Datadog—everything from customer-facing traffic to internal service-to-service communication. Fabric sits at the foundation of Datadog’s platform, enabling secure, reliable, and cost-efficient connectivity at global scale.
We are hiring a Staff Engineer to lead and evolve the automation and provisioning of our networking infrastructure as Datadog continues to expand into new regions and deployment models worldwide.
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 and build automation systems to provision, configure, and manage Datadog’s global networking infrastructure
- Enable one-click (and fully automated) regional bootstrapping, teardown, and validation
- Improve the safety, speed, and correctness of infrastructure changes
- Lead technical initiatives that reduce manual operations and eliminate error-prone workflows
- Balance reliability, security, and cost efficiency at global scale
- Mentor engineers and raise the technical bar across the organization
Who You Are: (Describe role qualifications here)
- You have a BS/MS/PhD in a scientific field or equivalent experience
- You have 10+ years of relevant engineering experience, and experience acting as a technical lead
- Experience building large-scale distributed systems in a production environment
- Strong programming skills in one or more of: Go, Rust, C++, Java
- You are familiar with some or all of the following technologies/concepts: Cloud Networking (e.g. AWS, GCP and Azure), Kubernetes, Proxies / Load Balancers (e.g. Envoy), DNS and traffic management, Infrastructure automation tools (e.g. Terraform)
- You are curious and interested in learning deep infrastructure and networking domains
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: (Describe opportunities offered here)
- 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.
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.
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.
Top Skills
Datadog Denver, Colorado, USA Office
We’re located in the heart of Denver, surrounded by restaurants, stores, & coffee shops. Union Station is just a few blocks away!
Similar Jobs at Datadog
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
