Your Opportunity:
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.
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.
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage
Solid understanding of TCP/IP protocols and Unix internals.
Degree in Computer Science, Software Engineering, or a related technical field (not a must; we're always looking for super talented people).
Ideally
Cybersecurity domain knowledge
Experience developing network/packet sniffing applications
Understanding of LLMs and agentic work flows
Hands-on experience integrating LLMs or ML models into production systems.
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.
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage
Solid understanding of TCP/IP protocols and Unix internals.
Degree in Computer Science, Software Engineering, or a related technical field (not a must; we're always looking for super talented people).
Ideally
Cybersecurity domain knowledge
Experience developing network/packet sniffing applications
Understanding of LLMs and agentic work flows
Hands-on experience integrating LLMs or ML models into production systems.
This position is open to all candidates.
