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2 дня назад

Staff Software Engineer (OT, AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead/principal
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (OT, AI): Defining and evolving the architecture of an end-to-end OT solution with an accent on integrating AI-driven capabilities and advanced analytics. Focus on driving critical tech choices, ensuring system scalability, reliability, and proactive identification of network threats and failures.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global is the Exposure Management company, relied upon by 44,000 organizations globally to understand and reduce cyber risk.

What you will do

  • Serve as the primary technical authority and mentor for the team, providing expert guidance and performing code reviews.
  • Partner with leadership to define and evolve the architecture of the end-to-end OT solution.
  • Own architectural decisions and drive critical tech choices that ensure system scalability, reliability, and seamless integration.
  • Lead the system’s evolution by shaping the target architecture and integrating AI-driven capabilities and advanced analytics.
  • Leverage complex cross-domain data and metrics to drive product performance and stability improvements.
  • Lead technical initiatives and discussions across Backend, Frontend, and other teams to ensure high-quality software delivery.

Requirements

  • At least 8 years of system/backend programming experience (Go/C/C++ or similar).
  • At least 2 years at a high-level technical position (Architect, Tech lead).
  • Experience with On-Prem and Cloud deployments and architectures.
  • Knowledge in all aspects of software development: Low-level, Backend, Frontend, Automation testing and Devops.
  • In-depth knowledge of TCP/IP protocols and Unix internals.
  • Academic-level understanding of algorithms and data structures.

Nice to have

  • Knowledge of Cyber Security trends and events (OT/ICS, asset discovery, DPI, threat modeling).
  • Experience developing packet sniffing applications or similar network applications.
  • Understanding of LLMs and agentic workflows.
  • Hands-on experience integrating LLMs or ML models into production systems.

Culture & Benefits

  • Work with talented and passionate people to build best-in-class cybersecurity solutions.
  • Foster a culture of belonging, respect, and excellence where you can be your best self.
  • Receive the support and resources needed to do work that truly matters.
  • Deliver results that exceed expectations and win together.

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