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Requirements:
Experience with iOS operating system, including architecture, permissions and interfaces
Experience in code analysis (Reverse Engineering)
Familiarity with the iOS kernel
Understanding of cybersecurity, including malicious code and vulnerability detection
Ability to work in an intelligence and security environment, maintaining confidentiality
Experience with intelligence tools or security systems.

Requirements:
3-6 Years experience in Product Management for SaaS or software products.
Proven collaboration with R&D and engineering teams.
Strong analytical and communication skills.
Experience leading full-cycle product development.
Bachelors degree (Engineering, Industrial Engineering, or related).
Self-driven, organized, and thrives in a fast-paced environment.

Requirements:
The Experience: 3+ years of proven success as a Project or Delivery Manager within a fast-paced Hi-Tech environment. Business Acumen: Demonstrated experience in building, managing, and optimizing project budgets. system Complexity: A deep understanding of complex software ecosystems and the nuances of high-scale digital products. Methodology: Expert-level knowledge of Agile/Scrum frameworks. Communication: Exceptional negotiation and conflict-resolution skills, with the ability to translate technical jargon into business value. Advantages Architectural Lens: Strong foundational knowledge in Software Architecture. Technical Roots: hands-on experience as a Software Developer Domain Expertise: Specialized experience in delivering native Mobile ( IOS / Android) and Web-based systems. Product Mindset: Experience in a client-facing agency or software house environment.

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.

Requirements:
Core Security & Operations
3+ years experience in SecOps / Cloud Security / Security Engineering
Hands-on experience securing Google Cloud Platform environments
Strong understanding of:
IAM (roles, service accounts, workload identity)
Network security (VPCs, firewall rules, load balancers)
Organization policies and security baselines
Experience operating and tuning security controls in production
Detection, Monitoring & Response
Experience with Google Cloud Security Command Center
Experience with Google SecOps (Chronicle) or equivalent SIEM
Building and tuning:
Detection rules
Alerts
Dashboards
Incident triage, investigation, and response in cloud environments
Log ingestion and normalization from cloud and third-party sources
Automation & Engineering
Strong scripting skills (Python preferred)
Security automation (SOAR-like workflows, custom tooling)
Experience integrating security tooling via APIs
CI/CD security controls (shift-left, pipeline security checks)
Cloud & Platform Security
Experience securing:
GKE
Cloud Run
Compute Engine
Knowledge of container security concepts (images, registries, runtime)
Vulnerability management and remediation workflows
Governance & Compliance
Experience with security posture management
Familiarity with common frameworks (ISO 27001, SOC 2, CIS Benchmarks)
Risk assessment and security findings remediation
Nice to Have
Experience with Wiz, Prisma Cloud, or similar CSPM tools
Experience with threat modeling and attack simulations
Experience working with regulated environments
Google Cloud security certifications

Requirements:
Core Data Engineering
3+ years of experience as a Data Engineer
Strong hands-on experience with Google Cloud Platform
Advanced SQL (BigQuery performance, partitioning, clustering)
Strong Python (data pipelines, APIs, batch & streaming jobs)
Experience building batch and streaming pipelines
BigQuery
Dataflow / Apache Beam
Pub/Sub
Cloud Storage
Data modeling for analytics and ML use cases
Production troubleshooting, optimization, and cost awareness
ML & GenAI
Experience supporting ML pipelines (training, inference, feature prep)
Hands-on with at least one of:
Vertex AI
Feature stores
Model inference pipelines
Experience working with LLM-based systems, including:
Embeddings generation
Vector databases / similarity search
RAG-style pipelines
Ability to prepare, version, and serve data for GenAI / ML workloads
Platform & Engineering
Experience with Airflow / Cloud Composer or equivalent orchestration
CI/CD pipelines for data & ML workloads
Infrastructure-as-code familiarity (Terraform preferred)
Understanding of IAM, data security, and access controls on GCP
Nice to Have:
Experience with FinOps / cost optimization
Experience with real-time ML or low-latency inference
Experience with monitoring & observability for data/ML pipelines
Google Cloud certifications (Data Engineer / Architect)

Requirements:
Experience: Minimum 5 years in product management in cybersecurity or related fields
Education: Bachelors degree in engineering, computer science, information systems or equivalent experience
Technical Knowledge: Familiarity with basic cybersecurity ecosystem, networking, communication protocols and related technologies
Skills: Excellent communication and interpersonal skills
Proven leadership ability to drive initiatives in a matrix organization. Values precision, upholds high standards and is committed to delivering vales through excellence
Experience in cyber intelligence or related domains.

Requirements:
5+ years in data engineering with strong Python & software engineering skills
Extensive experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures
Deep knowledge of relational (PostgreSQL) and NoSQL databases
Experience designing and implementing data warehouses and data lakes
Strong understanding of data modeling techniques
Expertise in data manipulation libraries (e.g., Pandas) and big data frameworks
Experience with data validation tools (Pydantic, Great Expectations)
Proficiency in writing and maintaining unit and integration tests (e.g., Pytest)

Requirements:
5+ years of relevant experience:
Direct client sales/management.
Experience with Cloud technology - A big pro!
Understanding of Big Data landscape and Business Intelligence technologies, as well as knowledge of how various cloud technologies (PaaS and IaaS) work together to drive deeper technology adoption within the existing large account base.
Demonstrated ability to achieve strategic goals in a fast-paced environment.
Ability to engage with both developer audiences as well as C-level IT and business leaders.
Bachelors degree or equivalent practical experience.
Ability to speak and write in Hebrew and English fluently

Requirements:
Bachelor's degree in information systems
2-3 years of experience as an infrastructure and application DBA, working with relational databases such as MSSQL.
Proficiency in writing SQL procedures, scripts and crafting complex queries.
Proficiency in writing SSIS.
Proficiency in working with Azure or another cloud provider.
Experience with BI, OLAP - an advantage
Experience in application Performance & Tuning

Requirements:
+3 years of hands- on experience in Python development including familiarity with microservices architecture
At least 1 year of experience in networking: working with VPN technologies, L2, L3 tunneling and proxy solutions
Experience working with Docker, Kubernetes and familiarity with CI, CD processes
Proficiency in Linux environments (Bash, networking tools)
Ability to conduct independent research tasks, take broad responsibility and manage personal tasks effectively
System - wide and cross - functional perspective, coupled with strong interpersonal skilles
B.Sc. in computer Science/Software Engineering - an advantage.

Requirements:
Familiarity with TCP/IP and communication protocols
Advanced Networking Knowledge: Deep understating of TCP/IP, network protocols (UDP, HTTP, HTTPS, DNS, DHCP) and network security
Experience with Kubernetes in production environment
Experience with Argo CD, Jenkins and other CI/CD tools
Experience with monitoring and logging tools (Prometheus, Grafana, Elastic)
Development experience in Python and Knowledge of SQL
Strong Infrastructure understanding and Troubleshooting skills in complex environments.