לוח משרות דרושים

Requirements:
2+ years of experience in Technical Support or similar function
Being a committed team player that can help lead others through challenging customer issues
3 years of hands-on Linux administration experience.
3 years of hands-on Windows administration experience.
Strong understanding of networking concepts.
Strong Knowledge of Bash scripting or Python.
An extensive experience with B2B support.
Excellent English writing and communication skills with attention to detail
Experience with the following:
Apache\Nginx\IIS configuration
Strong understanding of SQL concepts.
Jenkins\Chef configuration.
Nice to have:
MySQL\Postgres deployment and advanced configuration.
MSSQL deployment and management.
Public Cloud: AWS/GCP/Azure- Advantage

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:
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:
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