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Requirements:
B.A / B.Sc. degree in a highly quantitative field
4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
Fast learner with high attention to detail, and proven ability and passion to multitask on several projects at a time
Strong communication skills and a proven ability to collaborate effectively with different stakeholders on various projects and business/technical goals
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or parallel tools on AWS
Fluent in Python, including experience working with APIs, building infrastructure tools (like custom Airflow operators), and managing data streams
High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
Experience in designing and building scalable data systems for various data applications - an advantage
Experience in designing scalable data systems and analyzing data for insights - an advantage
Background in data-driven companies in large-scale environments - an advantage

Requirements:
5+ years programming experience in Java or equivalent Object-Oriented language
(preferably Java 8+Spring)
Production systems understanding (system architecture of web products)
Fearlessness to dive into what you dont know
Passion for solving problems, and working very close to the business
Experience with SQL and No-SQL
BSc in computer science or equivalent
Willing to work intensively to gain fast results in an unknown field
Product driven
A pragmatic attitude toward decision-making (avoiding analysis paralysis)
Strong analytical skills
Bonus points if you have:
Experience developing large scale distributed systems
Experienced with Kafka/docker/k8s
Deep understanding with web systems (API / REST / NGINX)
Experience with SQL and NoSQL (mysql / Vertica / Cassandra)
Experience in Big Data tools (BQ / zeppelin etc)
Knowledge in algorithms, data-mining and machine learning.

Requirements:
6+ years of experience in object oriented programming and infrastructure development
BSc in computer science or equivalent (please include GPA)
Strong end-to-end ownership mindset
Proven experience and strong understanding of big data systems, including hands-on work with a variety of database technologies
Proven experience as a tech leader, including mentoring and guiding of others
Production systems experience
Product driven and business oriented
Strong analytical skills
Fearlessness to dive into what you dont know
Passion for solving complex scaling challenge
Willing to work intensively to gain fast results in an unknown field
High self-learning abilities
Excellent communication and collaboration skills to work across teams
Bonus points if you have:
Experienced developing large scale distributed systems, Experienced with Web/JS, Experienced with Kafka / Docker / K8S, Experienced with NoSQL and big data distributed DB (Vertica / Cassandra / ES / BQ) Experienced with Spark / HDFS.

Requirements:
Design, build, and ship end-to-end features
Exprience with testing and debugging
Write clean, performant, and maintainable code with a focus on reliability and scalability.
4+ years of experience with cloud application development using Node.js and React
Javascript/Typescript experience
Excellent written and verbal technical communication skills (English)
Preferred Qualifications
Experience with CI/CD & DevOps
Experience with AWS
Experience with Git or equivalent distributed revision control systems

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
5+ years of experience as a Site Reliability/DevOps Engineer
Deep understanding of E-commerce flows, specifically with back-office operations and order processing - must
Experience as an Automation/Software Engineer with a strong understanding of software development principles and in building, testing, and deploying distributed systems - must
Experience in designing, implementing, and utilizing monitoring and observability platforms such as DataDog, NewRelic, Prometheus/Grafana, or ELK stack - must
Proficiency in scripting and automation using languages such as Python, Java, etc. - must
Ability to create dashboards, alerts, and insightful queries - must
Experience with AWS services to build and operate scalable and resilient applications (e.g., EC2, ECS/EKS, RDS, S3, Lambda, CloudWatch) - plus
Experience in automating infrastructure provisioning, application deployments, and repetitive operational tasks - plus
Proactive approach with excellent problem-solving skills
Strong collaborator, with an ability to work with cross-functional teams
Proficient in English

Requirements:
Degree in Accounting, Finance, or related field (e.g., Bachelors or equivalent).
Professional certifications such as CPA, ACCA, or equivalent are strongly preferred.
Minimum of 5 years of experience in revenue accounting preferred.
Deep understanding of ASC 606 and IFRS 15 standards.
Experience working in a multi-national environment and managing cross-border teams.
Strong critical thinking and analytical skills with a proactive problem-solving mindset.
Excellent communication and interpersonal skills, with the ability to influence stakeholders across geographies.
Preferred Skills
Experience with ERP systems (e.g., SAP, Salesforce, Zuora).
Familiarity with contract review and revenue forecasting.
Ability to thrive in a fast-paced, dynamic environment.

Requirements:
BSc/BA in a highly quantitative field such as Economics /Industrial Engineering/ Statistics
2-4 years of experience as a Business/Marketing/Financial analyst - a must
Experienced with SQL (Big Query) and data visualization tools (Looker) - a must
Previous experience in performance marketing / E-commerce company - a plus
Hands-on campaign management experience in paid social or PPC - a plus
Fast learner with high attention to detail, and proven ability to multitask on several projects at a time
Strong communication skills to work effectively with cross-functional teams
High analytical skills and the ability to deep dive into details
Driven by business goals, with a deep understanding of both Business & Marketing
Fluency in English, experience working with global and cross-functional teams

Requirements:
Were looking for someone whos not just a great engineer, but a passionate innovator who puts their soul into solving tough problems and delivering value.
* 4-5+ years of experience in researching, developing and delivering ML solutions in production-scale environments.
* Solid foundation knowledge of data science, Machine Learning, and statistics.
* Demonstrated analytical thinking and a deep understanding of data - its structure, context, and the insights it can unlock.
* Strong Python programming skills with fluency in AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, etc.
* Expertise in working with large-scale datasets using SQL, Spark, or similar tools.
* Proven success translating product or business needs into working AI systems.
* Fast learner, creative, and comfortable working in a dynamic startup environment.
* Good communication skills, able to explain complex ideas and findings to both technical and business audiences. Bonus Points (Preferred)
* Experience with cybersecurity-related data or product domains.
* Hands-on knowledge in working with LLMs and building AI agents.
* Familiarity with AWS cloud environment and MLOps (ML Orchestration, Docker, Kubernetes, MLflow, etc.). This position is also open to Security Researchers with data and AI experience who are looking to expand in AI. Ready to Empower the Future? At Cynet, you wont just be another data Scientist. Youll be a thought leader. A builder. An innovator. This is a unique opportunity to envision and shape how AI defends tomorrows digital landscape. If you're ready to dive deep, move fast, and create meaningful impact - wed love to meet you Apply now and lets build the future of cybersecurity together.

Requirements:
* 1 year of proficiency with cloud service providers (AWS/Azure/GCP)
* 3+ years of professional Linux Networking
* Experience with Security Products (Firewall, Web Gateways, Proxies)
* Strong experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.)
* Experience in customer-facing roles
* Scripting abilities in at least two of the following: Python, Go, Bash, PowerShell
* Innovative problem-solving skills and out-of-the-box thinking
* Proficiency in CI/CD platforms (Jenkins, CircleCI, CodePipeline)
* Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, CDK, Serverless framework)
* Serverless architecture knowledge Advantages
* AWS Certifications
* Experience with system monitoring platforms
* Experience with centralized logging platforms (ELK)
* Experience with production environments
* AWS Security tooling and best practices (Security Hub, AWS Config, WAF / Shield, CDN, etc.)

Requirements:
This position requires a solid understanding of simulation-based verification flows such as RTL and GLS as well strong proficiency in Verilog/SystemVerilog/VHDL.
You will also be required to possess a good understanding of common verification flows and methodologies such as UVM, SVTB, Coverage-Driven Verification, Assertion-based Verification, Low-Power Verification and so forth.
Familiarity with the full SoC design flow is a big advantage, as well as knowledge of common protocols such as AXI, AHB, Ethernet, PCIe, etc.
Experience in CAD is also a plus.
This job typically requires a minimum of BSEE plus 5-10 years of experience in hands-on Design/Verification/CAD
Excellent problem solving skills are a must.
Self-motivation and good task-management skills are a must.
Excellent communication skills and the ability to interact effectively with customers as well as peers is another must.
The Impact You Will Have:
Driving the successful adoption of Synopsys products by providing expert technical support and guidance.
Contributing to the development of cutting-edge technologies that shape the future of the semiconductor industry.
Supporting the continuous innovation and advancement of Synopsys product offerings.

Requirements:
BSc/BA in a highly quantitative field such as Economics/Industrial Engineering/Statistics
2-4 years of experience in a product analyst role - must
Experienced with SQL and data visualization tools - must
Experience with A/B test analysis - must
Previous experience in an E-commerce company - a plus
Technical skills to perform advanced analytics with large datasets, with technologies such as Python, R - a plus
Ability to deep-dive into ambiguous data trends and identify the underlying reasons
Fast learner with high attention to detail, and proven ability to multitask on several projects at a time
Strong communication skills
Fluency in English, experience working with global and cross-functional teams

Requirements:
- BSEE or MSEE with demonstratable relevant experience.
- Deep understanding of the latest SoC architectures and system-level design practices in one or more market segments (HPC, AI, mobile, storage, automotive, networking, IoT).
- Familiarity with state-of-the-art SoC design implementation, including:
- RTL design and verification using Verilog or SystemVerilog
- Synthesis, static timing analysis, physical design flow, test bench creation, and simulation
- Some exposure to analog/mixed-signal design and verification flows
- Basic understanding of package, D2D, and PCB design flows/technologies
- Willingness and ability to travel within Israel and internationally (approximately 1530% of the time)
- Strong technical communication skills, including:
- Ability to understand and present complex technical requirements, problems, and solutions in both verbal and written form
- Ability to analyze, summarize, and generate status updates from technical data
- Ability to organize, conduct, and coordinate meetings with internal and external teams
- Experience or technical familiarity with interface and connectivity protocols, such as PCIe, DDR, USB, MIPI, HDMI, SATA, Die-to-Die, Ethernet, and AMBA.
- Experience in selecting, using, designing, or supporting internal or external IP.
- Prior experience in an application engineering or other direct customer-facing role.