Staff Software Engineer - Frontend

Datadog’s Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: 

As individual contributors, they bring world-class technical abilities to deliver industry-leading systems in areas such as data visualization, virtual runtime profiling, and planet-scale streaming. 

As technical leaders, they bring experienced technical breadth and communication skills to tackle design and architectural problems spanning the organization, charting the right course, and then leading delivery. 

In both roles, they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improving company-wide standards around software and systems engineering. 

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. 

• →Use your expertise to design and deliver technology that will power the next generation of products 
• →Coach and develop engineers at various levels, from new university graduates to senior engineers with years of industry experience 
• →Leading redesigns of significant parts of the Datadog product and website
• →Owning core customer experiences, including the first-time user experience. 

• 10+ years of relevant engineering experience 
• 4+ years of technical leadership experience, including both effective communication of complex concepts and experience coordinating across teams to ship critical products 
• Running a high volume of experimentation and iteration cycles (A/B testing).
• Strong UI/UX intuition, adept at working closely with product design and product management stakeholders to develop a shared vision and deliver on it
• You have led development of high-complexity, high-performance interactive browser applications, including architecture, interaction design, and optimization 
• Ability to bring best practices from across the world of software engineering and adapt them to the frontend environment 
• Expertise with React 

Datadog values people from all walks of life. We know 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 experience, we encourage you to apply. 

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.

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. 

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.