עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
30,000-45,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

Your Opportunity:
Serve as the primary technical authority and mentor for the team, providing expert guidance, performing code reviews, and setting the bar for engineering excellence.
Partner closely the leadership team to define and evolve the architecture of our end-to-end OT solution, spanning from network data collection to complex on-prem and cloud deployment scenarios.
Own architectural decisions and drive critical tech choices that ensure system scalability, reliability, and seamless integration with the broader our product suite.
Lead the systems evolution by shaping the target architecture and integrating AI-driven capabilities and advanced analytics to proactively identify network threats and failures.
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.
Collaborate with cross-functional partners, including product management and design, within an Agile environment to shape and deliver new features.

Requirements:
What Youll need:
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
Being a tech-savvy and knowledgeable of cutting-edge technologies
Knowledge in all aspects of software development: Low-level, Backend, Frontend, Automation testing and Devops.
Experience with data-intensive systems.
In-depth knowledge of TCP/IP protocols and Unix internals.
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage.
Strong understanding of network application architecture and data Structures
Academic-level understanding of algorithms and data structures.

And Ideally:
Knowledge of Cyber Security trends and events. Ideally OT/ICS or adjacent (asset discovery, DPI, threat modeling).
Experience developing packet sniffing applications or similar network 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.