About Datadog:
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The team:
The Windows Agent team at Datadog is a center for excellence to help other teams build features that will provide best in class monitoring in the Windows ecosystem. The team will write code to collect data for system, network, and security monitoring on systems running Windows. The team writes integrations for services that customers run on Windows, and ensures the installation and operation of the agent is highly performant and efficient in resource utilization.
The opportunity:
As Engineering Team Lead for the Windows Agent team, you’ll manage a distributed team of talented engineers who will work on features and integrations to give Datadog users who run Windows the best possible experience. You will work with product managers to determine which features and integrations will be built by the team, and work with a community of open source developers as they contribute other integrations.
You will:
Requirements:
Bonus points:
Is this you? Let's chat!
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Your Privacy:
Datadog (NYSE: DDOG) is a prominent global SaaS provider that uniquely balances growth and profitability. It offers cloud-scale monitoring and security by combining metrics, traces, and logs within one platform.
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