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Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on SecOps.
Deep understanding of security principles, practices, and tools.
Expertise in cloud security technologies (AWS, Azure, GCP) and
security information and event management (SIEM) tools.
Strong knowledge of vulnerability management, penetration testing, and
incident response processes.
Experience with security automation and orchestration tools.
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills.
Bachelors degree in Computer Science, Engineering, or a related field.
Additional Info:
Send us your CV in English and become part of our team!
Only short-listed candidates will be contacted.
Confidentiality of all applications is assured!

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management
Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
Google Cloud Certifications:
Professional Data Engineer (preferred)
Professional Cloud Architect (preferred)
Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Excellent phone and cold calling skills.
Excellent verbal and written communications skills (English & Hebrew)
Ability to multitask, prioritize, and manage time efficiently.
Proficiency in CRM is an advantage.
Previous experience in an outbound sales call center or a related sales position.
Technical background.
Ability to achieve targets.
BA/BS degree or equivalent.

Requirements:
Bachelors degree in Marketing, Communications, Business, or a related field.
2+ years of experience in marketing, preferably in the technology industry, with a focus on cloud computing.
Proven track record of developing and executing successful marketing campaigns.
Strong understanding of digital marketing, including SEO, social media, and email marketingץ
Experience managing events, both online and in-person.
Must be assertive, a people person, and possess excellent interpersonal skills.
Excellent written and verbal communication skills in English and Hebrew including public speaking.
Strong project management and organizational skills.
Ability to work independently and as part of a team.
Proficiency in marketing automation tools and CRM systems (e.g., Monday.com, HubSpot, Salesforce).
Creative thinker with a passion for technology and innovation.
Experience managing budgets and vendors.
Ability to work from our Haifa offices with occasional travel to Tel Aviv and to events as needed.
Bonus Points:
Experience marketing cloud services (AWS, GCP, Azure).
Experience with graphic design tools (e.g., Adobe Creative Suite, Canva).
Experience in the Israeli high-tech market.

Requirements:
Soft Skills:
Excellent communication skills for client interactions and teamwork.
Proactive approach to problem-solving, with the ability to prioritize issues effectively and manage multiple client environments.
Advantages :
Cloud Technologies:
Familiarity with cloud technologies helps in managing scalable and cost-effective cloud resources efficiently.
Networking:
Understanding networking improves the design and management of secure cloud networks.
Additional Info:
Send us your CV in English and become part of our team!

Requirements:
Certified bookkeeper Minimum level 3
5+ years of experience as a bookkeeper- must.
Proven proficiency in Hashavshevet software is mandatory- must.
Proficiency in Excel
Strong understanding of accounting principles and practices.
Experience in preparing balance sheet trial balances.
Excellent organizational and time management skills.
Ability to multitask and meet deadlines under pressure.
Strong attention to detail and accuracy.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Hebrew and English proficiency.

Requirements:
Proven experience in coordinating training sessions and/or customer operations required
Strong organizational skills with attention to detail and ability to multitask.
Ability to work independently and manage multiple projects simultaneously
Excellent communication skills and a strong customer service mindset
Experience with CRM systems.
High-level proficiency in English (reading, writing, and speaking).

Requirements:
Licensed attorney in Israel with 7+ years of experience in commercial/hi-tech law, combining both top-tier law firm and in-house experience (in-house experience is a must).
Proven expertise in enterprise-level B2B SaaS contracts, negotiations, and commercial deals.
Strong knowledge of data privacy (GDPR/CCPA), AI regulation, corporate governance, and employment law.
Customer-facing mindset, skilled at building trust and negotiating win-win agreements with enterprise clients.
Excellent communicator, embracing pro-activity and over-communication to ensure full alignment across teams.
Excellent verbal and written communication skills in English (native or near-native).
Assertive, creative, solutions-oriented, with a strong business-enabling mindset.
High ownership, ability to manage multiple priorities, and thrive in a collaborative, cross-functional team.
A natural sense of urgency, adherence to timelines, and the capability to perform in a dynamic, high-stakes environment.
Availability during US hours as required.

Requirements:
5+ years of experience working as a Full-Stack Developer with Node.js & Typescript with a strong backend orientation.
3+ years of experience with a frontend framework: React / Vue.
Hands-on experience with Elasticsearch is a strong advantage.
Experience working with cloud platforms (AWS is an advantage).
Experience using Gen AI tools a significant advantage.
Proven experience in high-scale, production-grade environments.
Familiarity with testing frameworks for both frontend and backend components.
Fast learner, self-motivated, and passionate about technology.
Team player with excellent communication skills and the ability to work independently.
Can-do attitude!

Requirements:
Requirements:
At least 3 years of experience leading engineering teams with a strong track record of mentoring, motivating, and delivering through others.
Deep hands-on expertise in one of the following technology areas:
Data Engineering: Python and Apache Airflow, with experience building data pipelines, orchestrating workflows, and creating scalable data solutions.
Full Stack Development: React and Node.js, with experience building user-facing applications and performant backend services.

Nice to Have:
Experience with generative AI platforms such as OpenAI, Anthropic, or LangChain, as well as AI engineering companions like Cursor or Claude Code.
Strong system design and architecture skills with an eye for performance, scalability, and maintainability.
Familiarity with cloud platforms and modern DevOps practices.
Understanding of data engineering fundamentals and best practices.