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Requirements:
What you'll bring:
5+ years of backend/data engineering experience
Proficiency with Java (Vert.x, Spring or similar) - a must
Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - a must
Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
Familiarity with AI-first development tools (GitHub Copilot, Cursor) - an advantage
Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
Knowledge of Postgres, Redis, MySQL or similar, Clickhouse
Experience in Node.js (NestJS/Express) - a big advantage
Strong foundation in object-oriented design, design patterns, and clean code practices
Comfortable designing, deploying, and maintaining backend services and data flows
Passion for learning, experimenting with new tech, and building reliable systems at scale

Requirements:
At least 5 years of experience as QA Engineer in Cyber Security domain
Experience in server side/APIs and integration testing on complex systems
Strong technical background
Proven experience with databases
A wide system view, understanding of end-to-end testing and ability to identify risks
Ability to debug and analyze logs in order to find root cause
It would be great if you also have:
Mobile (iOS/Android)
Kubernetes.

Requirements:
A minimum of 5 years experience with C# or Java
At least 3 years of hands-on experience with JavaScript technologies such as Node.js and React.js
Strong understanding of system architecture, design patterns and best practices for building scalable and maintainable solutions
Experience working with complex, large-scale systems
Proficiency in distributed systems, multithreading, WebAPI and OOP principles
Practical experience with both SQL and NoSQL databases
It would be great if you also have:
Experience in SOLR, RabbitMQ, Redis and Elasticsearch
Experience with Kubernetes
Experience with Linux.

Requirements:
At least 3 years of experience in low-level development in C/C++/Objective-C
Experience with designing complex system
Knowledge of the internals of a major OS: Linux/iOS/Android/Windows
Experience with static and dynamic analysis tools
Ability to work in a dynamic environment
It would be great if you also have:
Relevant military experience
B.Sc. in Computer Science or equivalent experience
Experience in software architecture.

Requirements:
At least 2 years of experience in technical customer service (remote and face to face)
Experience in Windows and Linux operation systems
Experience in virtualization technologies (VMware, Hyper-V)
Experience in analyzing and monitoring TCP\IP networks
Experience in network monitoring platforms
High proficiency in English - written and verbal communication
It would be great if you also have:
Additional languages: fluent in Spanish
Experience working with CRM systems.

Requirements:
Education: o QA course / ISTQB certification / Equivalent experience. o Scientific Degree – An advantage. Professional Requirements: o Minimum 2 years of hands-on experience in software QA, including manual and automation testing – MUST o Strong understanding of software QA methodologies, tools, and processes o Experience in manual and automated software testing o Hands-on experience with test automation tools and/or scripting languages (Python, JavaScript, or similar) – MUST o Practical experience using AI tools (such as ChatGPT, Copilot, AI-assisted testing/automation tools) as part of the QA and development workflow – MUST o Experience in backend testing, APIs, REST services o Experience converting software requirements into test plans and test cases o Experience with Azure DevOps, Jira, TestRail, or similar tools o Strong analytical thinking and problem-solving skills o Ability to learn complex systems independently o Excellent communication and documentation skills o Experience working in Agile development environments – Advantage Language skills: o Fluent Hebrew/English - writing and verbal.

Requirements:
To thrive in this role, youll need:
5+ years of experience in Java, infrastructure development, and production-grade systems, with strong end-to-end ownership.
Strong big data expertise, including hands-on work with diverse databases, analytical thinking, and a passion for scaling challenges.
Proven technical leadership, with experience mentoring engineers and collaborating effectively across teams.
Product- and business-driven mindset, with high self-learning abilities and confidence to dive into new domains.
High-impact execution, demonstrating adaptability, accountability, and the drive to deliver results in complex environments.
Bonus points if you have:
Proven experience building and scaling large-scale distributed systems, including Web/JavaScript technologies, Kafka, Docker, and Kubernetes.Strong background in big data platforms, with hands-on experience in NoSQL and distributed databases (Vertica, Cassandra, Elasticsearch, BigQuery), as well as Spark and HDFS.

Requirements:
To thrive in this role, youll need:
Experience developing large scale distributed systems
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
5+ years programming experience in Java or equivalent Object-Oriented language
Production systems understanding
Experience with SQL and No-SQL
Highly Proficient in Linux environment
Proven ability to work effectively across multiple teams
BS.c in computer science or equivalent experience
Bonus points if you have:
Experience in Big Data tools
Knowledge in algorithms, data-mining and machine learning.

Requirements:
Experience: 2+ years of experience in Customer facing role. 5+ years of hands-on experience in cybersecurity landscape.
Cybersecurity Expertise: In-depth understanding of cybersecurity technologies, including SIEM, EDR, threat intelligence, and vulnerability management. Familiarity with attack surface management, lateral movement analysis, and mitigation strategies. Deep knowledge in security mechanisms, cyber security solutions and detection techniques.
Networking Proficiency: Deep understanding of networking technologies and protocols, network security principles, firewalls, network access controls and network-based attacks. Experience in monitoring or analyzing network topologies.
Problem-Solving Skills: Proven ability to troubleshoot and resolve complex technical issues across diverse environments.
Executive Presence: Experience working with and presenting to executive-level stakeholders.
Communication: Exceptional verbal and written English skills with the ability to explain technical concepts to both technical and non-technical audiences.
Adaptability: Ability to learn and stay ahead of emerging threats, technologies, and cybersecurity challenges.
Customer Focus: A strong commitment to delivering value and ensuring customer success post-deployment.
Teamwork: A collaborative mindset with the ability to work across teams and prioritize mission-critical objectives.
Willing to travel
Advantages:
Hands-on experience with DevOps technologies
Experience in Incident Response (IR) operations.

Requirements:
Deep cyber security understanding: Strong foundational knowledge of cyber security concepts and networking fundamentals, including TCP/IP, DNS, firewalls, VPNs, and threat landscapes. Ability to quickly grasp complex technical systems and articulate their value to clients.
Customer facing experience: 2-4 years in client-facing roles, such as presales, training, consulting, or customer success. Proven ability to communicate technical concepts to both technical and non-technical stakeholders.
Language Skills: Fluency in English is essential. Strong preference for German. Additional fluency in languages like French, Italian, or Spanish is a significant advantage.
Willingness to travel: Ability and willingness to travel domestically and internationally to meet client and business needs- 50% travel.
Integrity and confidentiality: Demonstrates the highest standards of integrity and safeguards confidential information in line with company policies and regulations.

Requirements:
5+ years of experience in technical support roles
Advanced troubleshooting and root cause analysis
Strong system and architecture understanding
Experience with NoSQL databases (e.g., MongoDB, Neo4j)
Familiarity with microservices architecture and tools such as Docker and Kubernetes
Log, metrics, and data analysis
Reproduction and debugging skills
Experience with Grafana
Experience working with Jira and Monday
Strong sense of ownership and accountability
Problem classification and decision-making skills
Excellent customer communication and empathy
Ability to collaborate effectively with R&D teams
Proactive approach to issue prevention
Operational excellence and reliability mindset
Nice to Have:
Familiarity with AI and agentic application patterns
Background in cybersecurity, threat intelligence, or related domains.

Requirements:
5+ years of experience building and operating production systems (platform engineering, data engineering, infra, or backend engineering).
Strong software engineering fundamentals (clean architecture, testing, CI/CD, code review, documentation).
Hands-on experience with cloud infrastructure and modern deployment patterns (containers, orchestration, serverless and/or Kubernetes; infrastructure-as-code such as Terraform is a plus).
Experience designing data pipelines and service integrations
Ability to work closely with researchers: turn ambiguous needs into clear requirements, make pragmatic tradeoffs, ship incrementally, and support adoption.
Familiarity with cybersecurity research workflows such Threat Hunting, Malware Research, CTI and more.

Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

Requirements:
* 5+ years of experience as a Senior DWH Systems Analyst - mandatory.
* Experience writing complex functions and queries in PL/SQL within an Oracle environment - mandatory.
* Experience defining and analyzing API services - mandatory.
* Academic degree in Industrial Engineering & Management / Information Systems / Engineering - a significant advantage.