לוח משרות דרושים הייטק תוכנה, לחיפוש זה נמצאו 2,903 משרות

חברת Comm-it מחפשת QA Automation Engineer לעבודה בצוות טכנולוגי, חדשני ומתקדם בצפון הארץ.
סביבת עבודה מגוונת ומאתגרת הכוללת עבודה על מערכות מורכבות, כתיבת תרחישי בדיקות אוטומטיות, תחזוקה ופיתוח של תשתיות אוטומציה ושיתוף פעולה הדוק עם צוותי הפיתוח.
בואו לקחת חלק בקידום תהליכים טכניים ושותפות באינטגרציה מערכתית מקצה לקצה.
הזדמנות לעבודה עם השפעה אמיתית, בלב הבטחון והטכנלוגייה.
תחומי אחראיות:
תכנון, פיתוח ותחזוקה של תשתיות אוטומציה למערכות מורכבות.
כתיבה ותחזוקה של Test Scripts ותרחישי בדיקה אוטומטיים.
ביצוע בדיקות שונות כגון Functional, Regression, Integration ו-End-to-End.
פתיחה, תיעוד ומעקב אחר תקלות, כולל עבודה משותפת עם צוותי הפיתוח לצורך איתור ופתרון בעיות.
תחזוקה ושיפור של תשתיות האוטומציה והתאמתן לצרכים המשתנים של המערכת.
שילוב והרצת בדיקות אוטומטיות כחלק מתהליכי CI/CD.
איתור תקלות במערכות מורכבות.
עבודה עם סביבות בדיקה שונות, כולל הקמת תרחישי בדיקה והכנת נתוני בדיקה.
שיתוף פעולה שוטף עם צוותי פיתוח, System, QA ו-DevOps.

We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth.
Responsibilities
Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence.
Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks.
Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work.
Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems.
Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows.
Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution.
Governance, Security, AI Cost Management (AI FinOps)& Economics:
Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment.
Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models).
Specialized open-source models) to optimize compute costs.
Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation.

Required Computing Network & System Architecture Group Leader
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities:
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware, software, and ucode design teams, to ensure alignment of architectural decisions with product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries