ABOUT GREYNOISE

GreyNoise is a mission driven security startup focused on helping organizations understand and mitigate risks from Internet scanning and exploitation. GreyNoise provides real-time intelligence on all actors scanning the Internet and how some of them are attempting to exploit vulnerabilities on assets connected to corporate networks. The intelligence is highly trusted because it’s generated from a global fleet of thousands of purpose built sensors observing the Internet. Advanced data science techniques and AI are used to process millions of observed events into real-time intelligence for customers.
Organizations use GreyNoise intelligence to understand the background scanning noise on the Internet and reduce up to 40% of alerts in a SOC. Threat hunting, vulnerability prioritization, incident investigation, and emerging threat response are other popular use cases for GreyNoise. The user base includes more than 10,000 community users and with 100 plus paid customers.
All positions are fully remote within the US, with optional office attendance at our DC area headquarters, unless otherwise specified. Applicants must have US work authorization.

• Lead initiatives related to deployment, scaling, monitoring, and enhancing the backend services, pipelines, and infrastructure supporting GreyNoise’s deception technologies.
• Work as a member of the team of engineers responsible for GreyNoise’s sensor and core networking technologies.
• Develop new capabilities to enable wider and more diverse deception profile deployment in a scalable, observable, and modular fashion, combining software engineering and infrastructure management skillsets.
• Collaborate with the GreyNoise research team to support their deception profile development efforts.
• Support development efforts on our sensor and core networking technologies using Go and Rust.
• Participate in an on-call rotation helping triage on-call tickets, prioritize and unblock team members, and guide sprint planning to drive effective execution.
• Debug and troubleshoot complex production issues across multiple systems, leveraging strong analytical skills and attention to detail.