
51 - 200 employees
Founded 2017
🔒 Cybersecurity
🏢 Enterprise
Cybersecurity • Enterprise • Data
Censys is a leading Internet Intelligence Platform that specializes in Threat Hunting and Attack Surface Management. It provides security teams with a comprehensive, accurate, and up-to-date map of the internet to defend against attacks and hunt for threats. Censys offers solutions for Cloud Asset Discovery, Exposure and Risk Management, and External Attack Surface Management. Its proprietary Internet Map delivers detailed insights and extensive internet scanning capabilities, allowing organizations to continuously monitor internal and external attack surfaces. Founded by the creators of ZMap at the University of Michigan, Censys is deeply rooted in the security open source community and boasts a large internet intelligence community. Censys empowers organizations, including those in financial services, government, and healthcare, to act swiftly against evolving threats and protect their internet-facing assets effectively.
🔥 1 minute ago
🌐 United States, Canada – Remote
🚗 Michigan – Remote
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 13%
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51 - 200 employees
Founded 2017
🔒 Cybersecurity
🏢 Enterprise
Cybersecurity • Enterprise • Data
Censys is a leading Internet Intelligence Platform that specializes in Threat Hunting and Attack Surface Management. It provides security teams with a comprehensive, accurate, and up-to-date map of the internet to defend against attacks and hunt for threats. Censys offers solutions for Cloud Asset Discovery, Exposure and Risk Management, and External Attack Surface Management. Its proprietary Internet Map delivers detailed insights and extensive internet scanning capabilities, allowing organizations to continuously monitor internal and external attack surfaces. Founded by the creators of ZMap at the University of Michigan, Censys is deeply rooted in the security open source community and boasts a large internet intelligence community. Censys empowers organizations, including those in financial services, government, and healthcare, to act swiftly against evolving threats and protect their internet-facing assets effectively.
• Set the technical direction for Censys’s integrations portfolio across more than a dozen integrations • Lead integration delivery across internal engineers and external vendor partners • Build and maintain integrations with AWS, Azure, GCP, SIEM, SOAR, and TIP platforms • Partner with third-party engineering teams, Alliances, and Marketing to launch and certify integrations • Design, implement, and maintain integrations between the Censys Platform and external SOAR, SIEM, and TIP solutions • Develop and operate highly available, scalable API connectors • Contribute to and maintain Censys open-source APIs and SDKs • Develop AI Agent skills and plugins for Agentic workflows • Create instructions for AI Agents to build and maintain integrations • Design and implement automated CI solutions covering integration building, testing, monitoring, and deployment • Advocate for customers, prioritize requests, and shape the integrations roadmap • Monitor emerging SOAR, SIEM, and TIP technologies to guide integration strategy
• 5+ years in software engineering • 2+ years focused on integrations or robust backend systems • 3+ years of experience with Python or Go • Deep expertise in API-first development and seamless service integration • Proven ability to unify multiple APIs into a coherent platform with solid service contracts • Experience setting direction for a multi-integration or platform effort and developing engineers • Strong CI/CD knowledge and experience improving deployment and developer workflows • Ability to write clean, maintainable, and scalable code • Excellent communication and documentation skills • Hands-on experience integrating with security platforms such as Splunk, Cortex XSOAR, Anomali, or Recorded Future • Cybersecurity engineering background • Experience integrating with vendor marketplaces such as AWS or Splunk • Expertise with REST/gRPC microservice architecture • Interest in using AI and LLM tools for software development • Experience with cloud providers, especially Google Cloud • Experience building, deploying, and maintaining containerized services in Kubernetes environments • Experience enforcing test coverage through CI practices, linters, and code complexity checks
• Remote work arrangement • Remote compensation localized according to employee work location at 83%–100% of the listed range (specific salary range not provided) • Reasonable accommodation for individuals with disabilities • In-person onboarding visit to Ann Arbor, Michigan • Equal opportunity and inclusive work environment
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