Datadog The Staff Software Engineer - Frontend at Datadog leads design and delivery of large-scale distributed systems and infrastructure. They provide technical leadership, mentor engineers, and drive architectural decisions across teams.
Responsibilities
Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways:
As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale.
As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution.
As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders.
Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity.
Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines.
Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production.
Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy.
Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems.
Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap.
Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Qualification
You have 10+ years of backendYou care about getting things rightBonus
Required
You have a BS/MS/PhD in a scientific field or equivalent practical experience.
You have 10+ years of backend, infrastructure, or distributed systems engineering experience.
You have 4+ years of experience leading complex technical initiatives and cross-team projects.
You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve.
You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision.
You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas.
You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you.
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.
