Nozomi Networks
OT and IoT cybersecurity
SeniorSoftwareEngineer
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“Senior Software Engineer at Nozomi Networks”
Industry & Context.
Full Job Description
Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world’s largest organizations and critical infrastructure in more than 68 countries and we’re just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure. As we expand our product portfolio and global presence, our Security Research department is hiring a Senior Software Engineer to work on cybersecurity projects focused on Threat Intelligence. You'll be designing, implementing, and maintaining automation systems to support workflows related to threat detection and analysis. You’ll also collaborate with the team working on machine learning models and MLOps pipelines that power detection and analytics features. Collaborate with experienced engineers to build high-quality software using Python, UNIX-like scripting, and RDBMS technologies (experience with Golang will be a strong advantage). We prioritize clean code, automation, and continuous learning, offering opportunities for growth, training, and conference participation. If you're passionate about threat intelligence, automation, machine learning engineering, and agile methodologies, this is the role for you. You could be the next "Nozomier"! If this sounds like you, read on. In this role you will: Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust Develop and maintain operations related to our Threat Intelligence infrastructure Develop automated systems to collect, share and correlate data related with cybersecurity threats to prevent attacks in critical infrastructures Develop ML models used in threat detection and classification use-cases Contribute to MLOps workflows, including training automation, evaluation pipelines, mode
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