לוח משרות דרושים עבודה היברידית

Requirements:
+3 years of proven experience in threat intelligence, threat hunting, or incident response.
Strong understanding of attacker behaviors and frameworks such as MITRE ATT&CK, Kill Chain, and common TTPs used in internal network compromise.
Ability to rapidly evaluate CVE relevance and exploitability, including understanding root cause, affected components, and real-world risk.
Experience with ingesting or working with threat intelligence feeds, enrichment pipelines, or threat classification systems.
Solid technical foundation in networking, identity protocols, or common enterprise security controls.
Experience with scripting or automation (Python, Go, PowerShell, etc.) to process intelligence, develop PoCs, or build internal tools.
Strong communication skills - able to explain complex threats clearly to engineering, product, and sometimes customers.
Bonus: contributions to open-source security tools, public research, conference talks, or technical blogging.

Requirements:
Bookkeeping Certificate Level 2 - Required
Certified Payroll Accountant (recognized by the Institute of Tax Consultants) - Required
At least 7 years of experience in a similar role - Required
Full proficiency in Priority ERP system - Required
Full proficiency in Excel - Required
Experience working with external CPA, preparing reports and filings - Required
Good level of English (professional reading and writing) - Required
Strong interpersonal skills, ability to work independently, attention to detail, and high level of accuracy
Strong analytical skills
Experience in bookkeeping for a U.S.-based company - Strong Advantage
Bookkeeping Certificate Level 3 - advantage
Experience working with DOKKA- Advantage
Proficiency in payroll software (Michpal or experience transferring data from Michpal to another system) - Advantage.

Requirements:
+ 2 Years of experience with analyzing data and extracting insights from it.
Experience in SQL and relational Databases.
Experience with scripting languages (Python) and data analysis frameworks (Pandas, Jupyter).
High level of analytical and problem-solving skills with strong attention to details.
Reliability in execution of complicated and long tasks, Independent and self-learning skills.
Knowledge of protocols, networking and computers communication- Nice to have.

Requirements:
Position Requirements
2-4 years of hands-on experience in SEO / Organic Growth.
Strong understanding of technical SEO fundamentals.
Proven ability to write and optimize content with a focus on conversion and user intent.
data -driven mindset and experience with GSC, GA4, Ahrefs / SEMrush, or similar tools.
Interest in AI-driven search and AISO.
Native-level English.
Why Join Us?

Join a young, ambitious company with talented people who are hungry for results and constant growth. Work at an international scale with products reaching 10M+ users and 500K+ customers annually. We reward real impact - high performers who drive results and revenue enjoy strong compensation and a true share in the companys success.

Requirements:
You will have 4+ years of technical pre-sales experience
Security specialization experience with any of Cloud based security, IDS/IPS, Firewall, Endpoint protection, Application security
Proven track record or managing and winning technical and high value IT security projects
Highly motivated self-starter that does not need day-to-day management
Hebrew and English languages are required
Cyber security market knowledge recommended
Prior experience with Cisco security technologies
Solid presentation and interpersonal skills
Commercial awareness and communication skills
Experience in Identity and Access Management, SSO, Authentication protocols and MS AD/Azure an advantage

Requirements:
* A VLSI Design Engineer with extensive experience in backend design.
* B.Sc./M.Sc. in Electrical Engineering.
* Strong understanding of Place & Route flow.
* 7+ years of hands-on experience in a relevant domain
Preferred/Advantageous Qualifications:
* Deep understanding of all aspects of Physical construction and Integration.
* Knowledge in Physical Design Verification methodology LVS/DRC.
* Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
* Great teammate, self-learning skills, and ability to work autonomously.

Requirements:
B.Sc./M.Sc. in Electrical Engineering from a top university
​Minimum of 8 years of proven experience in a relevant field
RTL design experience
Familiarity with UVM and functional verification methodologies
Preferred Qualifications:
Experience with MATLAB simulations and bit-exact modeling environments
Familiarity with mixed-signal systems and environments
Knowledge and hands-on experience with Clock Domain Crossing (CDC)

Requirements:
A VLSI Design Engineer with extensive experience in backend design
B.Sc./M.Sc. in Electrical Engineering or Computer Engineering with relevent background.
​ 5+ years of hands-on experience in a relevant domain
Strong understanding of Place & Route flow
Preferred qualifications:
Deep understanding of Physical construction and Integration.
Knowledge of Physical Design Verification methods like LVS/DRC and formal verification.
Experience with PD CAD and Physical Design EDA tools (e.g., Synopsys, Cadence).
Ability to support technology adoption and new tool integration.
Great teammate, self-learner, and able to work independently

Requirements:
Minimum 5+ years of enterprise software sales experience, preferably within the Financial Services Industry.
Demonstrated ability to grow and scale sales operations; first-line management experience is a plus.
Comfortable engaging with C-suite executives and managing a portfolio of up to 10 key accounts.
Strong executive presence, excellent interpersonal, written, and presentation skills.
Proven forecasting accuracy and commitment to sales targets.
Ability to thrive in a fast-paced, high-growth, and rapidly changing environment.
Capable of working independently and remotely from team members.
Relevant experience in IT systems, enterprise or infrastructure management, application development and management, security, and/or analytics.
Extensive use of CRM systems such as Salesforce.
Proven success and knowledge of prospects and customers within the Israeli FSI territory.
Proficiency in Hebrew and English.
Bachelors degree required; MBA is a plus.

Requirements:
8+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Validated experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Proven understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on EKS (Kubernetes).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design.
Deep understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets managemet, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.
Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).
Preferred Qualifications:
Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
5+ years of professional software engineering experience, with proven ability to design, implement, and deliver complex distributed systems in production.
Strong problem-solving, debugging, and system-design skills, with a focus on scalability and maintainability.
Proven experience in backend or full-stack development using one or more of the following languages: Java, TypeScript/Node.js, Go, or Python.
Solid understanding of distributed systems, microservices architecture, and RESTful or GraphQL APIs.
Hands-on experience with cloud-native development on AWS, including containerized workloads running on Kubernetes (EKS).
Proficiency with databases - relational (e.g., PostgreSQL) or NoSQL (e.g., MongoDB, Redis, OpenSearch) - and familiarity with data-driven application design
Experience using GitHub and GitHub Actions for version control, CI/CD, and collaborative development.
Understanding of authentication, authorization, and modern identity and access management concepts.
Familiarity with streaming and messaging systems, such as Apache Kafka.
Preferred Qualifications:
Experience building or integrating with multiple identity providers (e.g., Okta, Azure AD, Ping) and designing identity fabric or zero-trust architectures.
Exposure to AI-driven platforms, leveraging AI/ML for developer productivity, anomaly detection, or access intelligence.
Knowledge of Infrastructure as Code (IaC) tools such as Helm and Terraform, and familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).
Background in security-focused design, including secrets management, policy-as-code, and compliance automation.
Experience contributing to platform engineering or developer-enablement initiatives in large-scale environments.
Passion for innovation, continuous improvement, and building tools that make developers lives easier.

Requirements:
5+ years of professional experience in software engineering, data engineering, or product ownership roles.
Strong development experience with Python or Golang (both - advantage).
Demonstrated ability to translate business requirements into technical roadmaps and deliverables.
Experience working in Agile/Scrum environments and managing product backlogs.
Experience with orchestration and containerization (Kubernetes, Docker).
Familiarity with Linux and cloud infrastructure (especially AWS).
Preferred Qualifications:
Bachelors or masters degree in computer science, Engineering, or related field.
Familiarity with data warehousing and modern data stack technologies.
Proven hands-on experience with Apache Airflow, and Apache Spark.
Knowledge of message queues and real-time systems (RabbitMQ, Redis, Kinesis).
Knowledge of DevOps and CI/CD tools.
Strong stakeholder management and communication skills.
Ability to balance technical depth with strategic vision.