Senior Software Engineer - OT

Tenable OT Security was established through the acquisition of a pioneering Israeli cybersecurity startup, marking a major milestone in Tenable’s mission to provide proactive security for the world's most sensitive environments. Our solution offers critical visibility and risk management for Industrial Control Systems (ICS/SCADA), protecting essential infrastructures such as power plants, manufacturing floors, and smart buildings. While traditionally an on-premises solution designed to ensure operational continuity and prevent costly downtime, we are now evolving our technology to deliver market-leading risk visibility through advanced architectures and AI-driven capabilities. By combining deep on-premises expertise with proactive AI insights, we empower organizations to identify threats and network anomalies before any damage occurs

Responsibilities

Work on everything running on our OT appliance from network data collection and proprietary protocols to sophisticated logical algorithms, data manipulations, and APIs; Own your projects end-to-end, including design, development, testing, and deployment within an Agile environment; Integrate AI to proactively identify security threats; Build high-performance APIs and data-intensive systems primarily using Go; Contribute to the transformation of our core technology toward cloud-integrated architectures and advanced predictive analytics

Requirements

5+ years of experience in backend and server-side software engineering, with a demonstrated ability to design and scale data-intensive systems and solve complex technical problems; Strong proficiency in a backend language such as Go, C/C++ or similar; Solid understanding of TCP/IP protocols and Unix internals

Nice to have

Previous knowledge and experience with AI tools or integrating AI-driven solutions into products; Degree in Computer Science, Software Engineering, or a related technical field; Cybersecurity domain knowledge; Experience developing network/packet sniffing applications; Understanding of LLMs and agentic workflows; Hands-on experience integrating LLMs or ML models into production systems