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.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.
What Youll Do:
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production
10+ years of hands-on experience in backend development, with deep expertise in Java / TypeScript / Python and a strong grasp of software engineering best practices.
A proven track record of leading the design and implementation of complex, scalable, and high-performance systems in production environments.
Architectural experienceyouve made critical design decisions, defined technical direction, and guided teams through system evolution.
Strong understanding of distributed systems, RESTful APIs, databases, message queues, multi-tenancy, and cloud-native computing.
Experience building and evolving microservices-based architectures, ideally deployed in Kubernetes or similar container orchestration platforms.
A collaborative, communicative approachyoure comfortable influencing across teams, mentoring engineers, and driving alignment.
A proactive, ownership-driven attitudeyou seek out opportunities, solve problems before they escalate, and take initiative to improve systems and processes.
Advantages:
Experience with GenAI implementations, LLM integrations, Vector Databases (e.g., Mongo Atlas Search, Elastic Search), and embedding-based search.
Background in Cybersecurity, data privacy, or compliance-related domains, especially with experience designing secure-by-default systems.
Experience evaluating and integrating third-party APIs, SDKs, or cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI).
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.
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