censys · Remote (US/Canada)
Skills: Python, Java, SQL, AWS, Docker
Join the team turning internet intelligence into real-world security outcomes. Built on the world’s most comprehensive and accurate map of the Internet , the Censys Platform delivers real-time visibility and actionable intelligence needed to accelerate triage, investigate threats, hunt adversaries, and manage Internet exposure. We're trusted by half of the Fortune 500 and government agencies all around the world, and looking for people as passionate about the problems we're solving as we are. At Censys, we're on a mission to provide best in class internet visibility and intelligence to the global security community. Our platform helps security teams uncover hidden threats, gain actionable insights, and build proactive defense strategies. Trusted by organizations worldwide, Censys cuts through the noise to surface the most critical risks, enabling teams to respond faster, and stay ahead of attackers. We're constantly pushing the boundaries of what's possible to help our customers see and secure the internet more clearly than ever before. Location: This position is remote within the United States or Canada. Role Summary: Censys is seeking a Software Engineer II (Backend) to join our Exposure Management team. Exposure Management is a growth product for Censys. It combines our map of the Internet with customer context to show security teams which exposures matter most, including the risk that reaches them through their suppliers via Supplier Risk Intelligence. We're looking for an engineer who can build the product APIs behind these experiences, taking a well-scoped feature from design through launch with input from senior engineers. You'll work primarily in Go, pulling together data and services from other Censys teams and partnering with frontend engineers to deliver APIs that are fast, well-shaped, and easy to build on. As with all roles at Censys, we expect a strong customer focus, a collaborative mindset, and a desire to keep learning. What You'll Do: Own small-to-…
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