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Requirements:
Your Experience
4+ years of experience QA automation developer
Experience in one of the following languages - Python (Must)
Experience with API testing
Experience with cloud-native technologies like DB, Bucket, SQL, GSUITE (SaaS products)
Experience with designing, developing, and implementing test/applicative frameworks from scratch
Deeply passionate about product quality with a mindset focused on continuous improvement
Experience with Gitlab/Jenkins (Advantage).

Requirements:
Bachelor's degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
Strong understanding of modern adversary TTPs and attack methodologies.
Experience with designing and executing simulated attack scenarios in lab environments.
Preferred Qualifications
Proven experience in security research, specifically focusing on SaaS, Identity Providers (IdP), or Cloud platforms.
History of public-facing research, such as conference presentations or blog posts.
Experience with reverse engineering and vulnerability analysis.
Proficiency in one or more programming languages like Python or Go.

Requirements:
Required Qualifications
4+ years of hands-on experience in frontend development
Senior-level experience with modern Angular development - Must
Practical experience using AI-assisted development tools and workflows (such as code generation, debugging, testing, or productivity tools) as part of the daily engineering process.
Solid command of RxJS and reactive programming principles
Extensive hands-on experience with modern Angular frameworks and up-to-date best practices.
Strong understanding of performance optimization, modular design, and scalable architecture
Experience with data visualization or UI animation - Advantage
Independent, proactive, and collaborative team player with strong ownership mindset.

Requirements:
4+ years in security engineering, cloud operations, incident response, threat hunting, DevSecOps, or related security disciplines.
2+ years of hands-on experience securing or operating environments within Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Infrastructure (GCI/GCP).
Strong experience with Kubernetes, containers, and modern cloud-native architectures.
Deep understanding of cloud networking concepts, including VPC Flow Logs, Transit Gateways, service meshes, and traffic patterns (East-West vs. North-South).
Strong comprehension of identity systems (IAM) and how policies interact with network controls to establish secure boundaries.
Experience with CI/CD pipelines and modern software delivery practices.
Proven experience with incident triage, investigations, containment, remediation, or formal operational response processes.
Experience with posture management, governance controls, or applying security best practices such as CIS Benchmarks and recognized cloud architecture frameworks.
Strong scripting or programming proficiency in languages such as Python, Go, or Bash.
Excellent communication skills, demonstrating the ability to clearly explain complex findings and facilitate alignment across cross-functional teams.
Preferred Qualifications
Experience working with large-scale data pipelines and analytics platforms such as BigQuery or Dataflow.
Familiarity with threat frameworks such as MITRE ATT&CK.
Recognized expertise or advanced certifications in cloud security, detection and response, or posture management across Amazon Web Services, Microsoft Azure, or Google Cloud.
Experience operating highly available, large-scale cloud environments.

Requirements:
Required Qualifications
10+ years of hands-on experience delivering production-grade machine learning and deep learning projects at scale.
Proven ability to own the entire lifecycle of a project-taking ambiguous ideas from initial research through to successful production deployment.
Extensive experience designing, training, and fine-tuning complex models, including SLMs and LLMs, tailored to specific proprietary datasets.
Track record of shipping diverse models to production across both resource-constrained endpoints and high-throughput cloud environments.
Deep expertise in building and optimizing agentic AI systems, including RAG architectures and autonomous workflows.
Demonstrated ability to lead technical strategy, ensuring research code is scalable, reliable, and production-ready.
Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field.
Excellent communication skills, with the ability to articulate complex architectural decisions to both technical teams and leadership.
Preferred Qualifications
Background in the cybersecurity domain, specifically in developing AI/ML models to detect and prevent cyber attacks.
Deep cybersecurity expertise in non-AI fields, such as vulnerability research, reverse engineering, or low-level security systems development.
Experience with low-level performance engineering, including model quantization, pruning, and runtime frameworks like ONNX or TensorRT.

Requirements:
Required Qualifications
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
7+ years of professional software engineering experience.
Proven experience building and operating distributed, large-scale cloud products.
Experience in designing, building, and maintaining scalable server-side applications.
Experience with a variety of database technologies such as MySQL, Cassandra, Google BigQuery, Amazon Redshift, or Elasticsearch.
Preferred Qualifications
Experience with writing and maintaining CI/CD pipelines.
Proficiency in Go and/or Python programming languages.
Hands-on experience with Google Cloud Platform (GCP).
Experience with containerization technologies such as Kubernetes and Docker.
Knowledge of the cybersecurity domain and related challenges.

Requirements:
* The Background: Magshimim / Mamriot program trainee or graduate, or equivalent independent cybersecurity research and development experience.
* The Tech: Strong Python skills, hands-on experience building and consuming RESTful APIs, and standard cloud concepts.
* Infrastructure & Servers: Basic knowledge of working with servers and hands-on infrastructure (e.g., computer lab maintenance, hardware/software troubleshooting, or basic system administration).
* The Cyber Edge: Solid understanding of modern attack vectors, vulnerabilities, and security frameworks. You know how to simulate realistic threat vectors.
* The Communicator: You don't just sit behind a screen. You have excellent communication skills, a positive attitude, and the ability to "translate" deep technical engineering concepts into clear, logical stories for product and sales teams. You ask the right questions, collaborate naturally, and aren't afraid to speak up. Key Responsibilities
* Feature & API Integration: Own the end-to-end integration of new product features and capabilities into the company's master demo environment, leveraging and connecting various APIs to ensure smooth data flows.
* Attack Flow Validation: Design, script, and continuously validate realistic cyber attack scenarios and security flows to ensure the demo perfectly highlights our product’s value proposition.
* Environment & Server Maintenance: Maintain, troubleshoot, and optimize the demo infrastructure—including server setups, containers, cloud environments, and scripts—to guarantee 100% uptime and seamless performance during high-stakes client presentations.
* Cross-Team Collaboration: Work closely with Product, Engineering, and Sales Engineering teams to translate complex technical updates into clear, repeatable, and impactful demo scenarios.

Requirements:
2+ years of experience managing or technically leading a security research, SOC, Incident Response, or malware analysis team.
Strong technical background in malware analysis, OS internals, and the broader threat landscape (including common attacker tools, tactics, and techniques).
Experience managing high-pressure customer escalations and team resources in a dynamic, fast-paced environment (with the understanding that rapid response occasionally requires handling critical issues during non-regular hours, and in rare cases, weekends or holidays).
Strong sense of ownership, exceptional organizational skills, and the ability to manage multiple priorities effectively.
Experience with signature development (YARA, IPS)
Familiarity with Python, Git, and data querying (SQL/BigQuery), coupled with a strong mindset for driving automation and process digitization within a team.
Excellent written and oral communication skills in English, with the ability to articulate complex technical issues to both technical and non-technical cross-functional teams.

Requirements:
Required Qualifications
In-depth knowledge of some Unix-based operating system internals.
Experience in security research - 3 years at least
Minimum 2 years of development experience in C/C++.
Development knowledge in one or more scripting languages.
Ability to work independently and as a part of a team.
Strong attention to detail and ability to take initiative.
Preferred Qualifications
In-depth knowledge of macOS internals.
Development experience in Swift or Objective C.
Experience with python or Lua scripting languages.
Experience in reverse engineering - both static and dynamic (arm/x86/64 architectures).
Exploitation experience (either application level security or memory corruptions).

Requirements:
Required Qualifications
At least 5 years experience with Active Directory security and identity related attacks.
In-depth knowledge of the inner-workings of operating systems.
In-depth Knowledge of network protocols, including but not limited to Kerberos, RPC, SMB, HTTP, SMTP, DNS, DHCP, etc.
In-depth knowledge of enterprise infrastructure, including Active Directory, FW, VPN, Security products, etc.
Ability to drive and own projects from start to finish.
Independent and a team player, a critical thinker.
Preferred Qualifications
2+ years of experience with Entra ID (formerly Azure AD) or SAAS application.
At least 2 years of experience coding in Python.
Strong knowledge of SQL language.
Experience with red-teaming / pentesting of Entra ID.
Experience with machine learning, data analysis, cloud infrastructure, or security.

Requirements:
Required Qualifications
4+ years of experience in at least one of the following fields: Threat Intelligence, Threat Hunting, Malware Analysis, Security Research, SOC (Level 3), or Incident Response.
Deep understanding of the cyber threat landscape, including advanced malware and threat actor techniques. A strong command of the MITRE ATT&CK framework is a must.
Strong proficiency in Python, specifically for automating data collection via APIs and performing data analysis.
Proven experience using BigQuery or SQL-based languages to query massive datasets and identify anomalies.
Strong understanding of OS internals (e.g., processes, registry, memory, file system events) and OS event logs.
Hands-on experience simulating attacks or performing static and dynamic malware analysis in a controlled lab environment.
Analytical Mindset: Ability to analyze large amounts of technical data, extract crucial details, and draw meaningful conclusions.
Independence: Ability to work independently, lead projects to fruition, and collaborate across the company with other departments.
High proficiency in English, both verbal and written.
Preferred Qualifications
Experience in OSINT or intelligence analysis (e.g., military intelligence).
Experience with EDR/XDR platforms, YARA, or Sigma rules.
Strong presentation and public speaking skills.

Requirements:
5+ years in HRIS management or HR technology roles
Proven hands-on experience implementing and/or administering SAP SuccessFactors - mandatory
Deep knowledge of at least 3 SAP SuccessFactors modules (Employee Central required; Time Off, Performance & Goals, and Compensation are strong advantages)
Experience managing full-cycle HRIS implementations and cross-functional systems projects
Experience with system integrations (API, middleware, flat-file) and tools such as SAP BTP or Workato
Familiarity with enterprise platforms such as NetSuite, Salesforce - a strong advantage
Understanding of the full HR employee lifecycle: hire-to-retire, talent, compensation, and learning.

Requirements:
This is the perfect job for someone who:
Passionate about data.
Holds a BSc degree in Computer Science\Engineering or a related technical field of study.
Has at least 4 years of software or data engineering development experience in one or more of the following programming languages: Python, Java, or Scala.
Has strong programming skills and knowledge of Data Structures, Design Patterns and Object Oriented Programming.
Has good understanding and experience of CI/CD practices and Git.
Excellent communication skills with the ability to provide constant dialog between and within data teams.
Can easily prioritize tasks and work independently and with others.
Conveys a strong sense of ownership over the products of the team.
Is comfortable working in a fast-paced dynamic environment.
Advantage:
Has experience with containerization technologies like Docker and Kubernetes.
Experience in designing and productization of complex big data pipelines.
Familiar with a cloud provider (AWS / Azure / GCP).
Experience with Big Data technologies and common frameworks such as Spark, Airflow, Kafka, Parquet, Databricks, EMR, Kubernetes.

Requirements:
Required Qualifications
3+ years of experience in security research/analysis roles
Vast experience in Malware research - Advanced static and dynamic analysis tools
Experience in identifying, investigating, and responding to complex attacks
In-depth knowledge of inner Linux operating system Internals - processes & threads, User & Kernel space, eBPF, Cloud Native technologies, etc.
Experience in Python or other scripting languages
Understanding of the threat landscape in terms of the tools, tactics, and techniques of attacks
Excellent written and oral communication skills in English
Strong attention to detail
Ability to work independently in a dynamic, fast-moving, and demanding environment - this role might occasionally require working non-regular hours, including weekends and holidays - if needed
Preferred Qualifications
Experience in development of endpoint-based malware detection rules - big advantage.

Requirements:
SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.