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Were growing and looking to hire an Information Manager, Security Operations Engineering who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Role:
As the Information Security Operations Manager, you will lead our front-line defense, monitoring, and incident response capabilities. You will manage a high-performing technical team responsible for protecting enterprise infrastructure, cloud environments, and emerging AI workloads.
This role requires a rare combination of deeply technical hands-on capability and sophisticated leadership. Beyond managing technical systems and engineering staff, you will serve as the core liaison between Security Operations (SecOps) and key business stakeholders-including software engineering, corporate legal, human resources, and executive leadership-to navigate complex incidents, manage risk, and foster a collaborative security culture.
Responsibilities:
As a Manager, Security Operations Engineering, Your impact will be:
Technical & Architecture Ownership:
Cloud Security Operations: Architect and operationalize security monitoring within multi-cloud environments (e.g., AWS, Azure, GCP), utilizing cloud-native security tools and cloud security posture management (CSPM) systems.
EDR & Endpoint Protection: Experienced in managing and optimizing next-generation Endpoint Detection & Response (EDR/XDR) tooling across enterprise servers and workstation fleets.
Network Security: Knowledge of perimeter defenses, micro-segmentation, web-application firewalls (WAF), secure access service edge (SASE), and overall corporate network security architectures.
AI Security Operations: Lead the operational monitoring and governance of enterprise AI/LLM integration, defending against emerging vectors such as prompt injection, data exfiltration through AI pipelines, and insecure API utilization.
ZTNA: Experience with deploying, maintaining, and troubleshooting zero trust network access (ZTNA) solutions.
Vulnerability Management: Oversees the continuous identification, prioritization, and remediation of security weaknesses across an organizations infrastructure.
Incident Response & Security Analysis:
Manage day-to-day security analysis, monitoring, and full incident response lifecycles.
Lead technical root-cause analysis investigations for complex security incidents and author polished post-mortem documentation for executive review.
Mature the SecOps playbook, expanding capability around proactive threat hunting, threat intelligence integration, and digital forensics.
Experience with SIEM (ex. Splunk) and Security Operations Center (SOC) monitoring and alerting using the latest technologies.
Team Leadership & Stakeholder Collaboration

מנהל /ת חשבונות.
פתח תקווה | משרה מלאה.
צוות הכספים שלנו מתרחב!
מחפשים מנהל /ת חשבונות עם 2-4 שנות ניסיון ושליטה חזקה ב-Priority לעבודה שוטפת מקצה לקצה (ספקים, לקוחות, התאמות בנקים ואשראי בשוק המקומי).
אם את/ה סופר מאורגן/ת, עם ראש גדול, ורוצה להיות חלק מאינטגרלי מצוות חם בסביבת סטארטאפ - נשמח להכיר!
קורות חיים במייל. המשרה מיועדת לנשים ולגברים כאחד.

קצת על התפקיד
השתלבות בצוות מחקר ופיתוח של רכיבים ומכלולים המושתתים על פולימרים.
סיוע בפיתוח רכיבים ומכלולים חדשים משלב תכנון הרכיב, דרך בחירת חומרים ואפיונו עד העברת המוצר לייצור.
תמיכה בייצור רכיבים ומכלולים.
סיוע במערכי ניסויים למוצרים.
איפיון חומרים ותכונות.
סקרי ספרות בתחום.

דרוש/ה מפקח/ת סוכני ביטוח - משרת שטח.
יש לכם לפחות 3 שנות ניסיון כמפקח/ת סוכנים וניסיון בעבודה מול סוכנים וסוכנויות ביטוח + לפחות 3 שנים בתחום החבויות?
זו ההזדמנות להתקדם לתפקיד מעולה עם תנאים מצוינים!
שכר בסיס + עמלות.
רכב.
משרת שטח.
קורות חיים למייל.
נא לציין בנושא: מפקח/ת סוכנים המשרה מיועדת לנשים ולגברים כאחד.

We are looking for a Senior Software Architect to lead the architecture and technical execution of AI products and shared AI capabilities.

This is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems.

You will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will work closely with engineers, product managers, security researchers, and architects to turn emerging AI capabilities into secure, scalable, reliable, and maintainable products across SaaS and on-premises deployments.

The successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution.

What You Will Own

Define and drive the architecture of AI-powered products and shared AI capabilities across SaaS and on-premises deployments.
Design scalable backend services, APIs, data pipelines, data models, and storage solutions for AI and security workloads.
Lead architectural decisions across data ingestion, processing, retrieval, model integration, AI orchestration, and product integration.
Work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges.
Provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation.
Design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability.
Ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive-data handling, and on-premises operation.
Define patterns for integrating AI models, retrieval systems, tools, workflows, and deterministic product capabilities.
Design AI-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind.
Support the architecture and development of web-based AI experiences and their integration with backend services and Aqua product workflows.
Evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit.
Define and document architecture standards, technical guidelines, and reusable patterns for the AI team.
Review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness.
Collaborate with Product and Engineering to balance customer value, delivery speed, technical risk, and long-term maintainability.
Partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across Aqua products.