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Requirements:
8+ years of industry experience in AI/ML or Data Science, with at least 4-year leading teams and managing direct reports.
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Preferred Qualifications
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.

Requirements:
5+ years of experience in the software industry
2+ years of hands-on experience as a Product Owner or Product Manager
2+ years of experience working directly withSaaS solutionsor cloud-native environments
BSc in Computer Science or Engineering
Strong technical aptitude with the ability to understand on-prem and SaaS architectures, dependencies between different components and complex customer environments
Strong analytical and problem-solving skills-an ability to dive into technical details without losing sight of the big-picture business value
AI-Augmented Productivity: Hands-on experience using Generative AI tools as a primary workflow driver to significantly accelerate product documentation, user story slicing, and acceptance criteria generation
Structured Prompting Skills: Proven ability to effectively prompt LLMs to break down complex, multi-layered technical requirements into structured, developer-ready tasks without losing the original business context
Proven ability to influence without authority and execute large-scale, cross-departmental software projects in an enterprise environment
Exceptional communication and presentation skills
Proactive and highly motivated individual with a strong work ethic and a goal-oriented mindset
Preferred Qualifications (An Advantage):
Previous experience working as a PO/PM or Engineer in a Cyber Security product company
Proven experience in ADLC (Agent Development Lifecycle)
Experience in MS Windows internals and sessions or PAM (Privileged Access Management).
Strong familiarity with security architectures, such as access control gateways, proxies, secure session management.

Requirements:
At least 5 years of experience with C++ programming for Windows
Experienced with development of kernel drivers on Windows - significant advantage.
Capable and courageous to deep dive into complex areas in the system, analyse them, suggest solutions, and build solution
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Excellent design and analytical skills, problem solver / extended troubleshooting capabilities
Eager to own and maintain code at the highest quality and security level, including UT and automation tests.
Experience with CI/CD tools (Jenkins/Git/Artifactory)
BSc in computer-science/engineering/ Elite unit alumni
Team player
How will you stand out from the crowd:
Experience with Windows Internals
Reverse engineering experience
Experienced in the cyber industry and in development of Security Products for Windows
Experience with Kernel Mode development or debugging
Ability to analyze and interpret crash dumps (e.g., WinDbg, KD)
Familiarity with Reverse Engineering techniques and tools (e.g., IDA Pro, Ghidra)
Understanding of Security principles (e.g., secure coding, exploitation techniques, mitigations, WASP / Encryption / Authentication)
Experience with Driver development or interaction with low-level system components
Awareness of Malware analysis or threat detection techniques.

Requirements:
Your Experience
10+ years of software engineering experience using Python, Go, Node.js, Ruby, Java, or C#.
Strong, hands-on proficiency in JavaScript, TypeScript, and MongoDB.
2-3+ years of experience building enterprise-scale applications in cloud/SaaS ecosystems (AWS preferred).
2+ years of experience managing on-premise environments.
Proven capability to leverage modern AI tools to lead, design, and accelerate end-to-end feature delivery.
A solid and practical understanding of software security and networking fundamentals.

Requirements:
4+ years of experience in an analytics role.
Bachelors degree in industrial engineering, Information Systems, or related discipline.
Proficiency in Python for data manipulation, analysis, and basic scripting is required.
Strong SQL skills and experience querying structured data sources.
Familiarity with BI tools such as Tableau, Looker, or Power BI.
Analytical mindset with a keen interest in connecting data to user experience and product performance.
Excellent communication skills-able to explain complex ideas clearly to technical and non-technical audiences.
Comfortable working collaboratively in cross-functional teams.
Additional information
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Understanding of A/B testing, experimentation frameworks, or product metrics design.
Interest or experience in cybersecurity, AI/ML, or identity security.

Requirements:
5+ years of hands-on experience working as a Software, DevOps, or infrastructure developer.
Significant development experience with the following: Python, Groovy, Bash, PowerShell
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.)
Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.)
Experienced with building the full application release cycle (CI/CD).
Experience in creation of highly automated Infrastructures - as code
Knowledge of operating system administration
Excellent design and analytical skills
Creative troubleshooting skills and out-of-the-box thinking.
Know your way around the open-source community
Strong communication skills, Team player
Open-minded, Creative out of the box thinker.
A thorough and methodical approach to any task, ability to plan, conduct, prioritize, track and measure processes
Decision-making skills: taking into account both architectural and business considerations, at times with incomplete information.
Strong ability to use new technologies and understand them in depth through rapid self-learning.
Proactive by nature; internal drive for excellence and improvement
Highly motivated, autonomous
Fluent in English, good writing skills
How will you stand out from the crowd:
BA in Computer Science or MAMRAM graduate
Experience in testing methodologies and developing tests (e.g Unit tests, integration tests, system tests)
Strong networking foundations (TCP/IP, DNS, Network Protocols, Routing)
Security principles and techniques (Risk management, Threat modeling, secure configuration)
Database usage experience and understanding
Experience with Agile development and practices
Cloud Solution Architect Certificate.

Requirements:
Your Experience:
Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience.
Extensive experience in software engineering, with a focus on building and deploying production-grade systems.
Proven experience with cloud platforms, particularly AWS services.
Strong programming skills in languages such as Python.
Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs).
Experience with the full software development lifecycle (design, development, testing, deployment, maintenance).
Preferred Qualifications
Experience building agentic AI systems or multi-agent workflows.
Contributions to open-source projects in the AI/ML space.
Experience with MLOps principles and tools for model deployment and monitoring.
Familiarity with cybersecurity concepts and secure software development practices.
Published research in relevant AI/ML fields.

Requirements:
Bachelors degree in Computer Science, Software Engineering, or related field (or elite military tech unit alumni).
5+ years of hands-on software development experience, with strong coding skills in Python (or similar modern language).
Proven experience building and shipping production-grade SaaS or cloud-native services.
Familiarity with AWS cloud services, especially Lambda, Step Functions, DynamoDB, and related serverless components.
Strong system design and problem-solving skills.
Team player with excellent communication skills and a proactive mindset.
Preferred Qualifications:
Frontend development experience with React, PrimeReact, or TypeScript.
Experience with database development (Aurora RDS, DynamoDB).
Understanding of microservices and event-driven architecture.
Knowledge of secrets management, identity, or cloud security domains.
Background in enterprise-scale, high-availability, or regulated environments.
Experience with infrastructure-as-code tools such as AWS CDK or Terraform.

Requirements:
Your Experience

5+ years of hands-on experience working as a Software, DevOps, or infrastructure developer.

Significant development experience with the following: Python, Groovy, Bash, PowerShell.

Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud.

Experience with Containers and Orchestrators (Docker, Kubernetes, ECS, etc.).

Experience with CI/CD Tools and Configuration Management Systems (e.g. Jenkins, Git, Ansible, Terraform, etc.).
Experienced with building the full application release cycle (CI/CD).
Experience in creation of highly automated Infrastructures - as code.
Knowledge of operating system administration.
Excellent design and analytical skills.
Creative troubleshooting skills and out-of-the-box thinking.
Know your way around the open-source community.
Strong communication skills, Team player.
A thorough and methodical approach to any task, ability to plan, conduct, prioritize, track and measure processes.
Decision-making skills: taking into account both architectural and business considerations, at times with incomplete information.
Strong ability to use new technologies and understand them in depth through rapid self-learning.
Proactive by nature; internal drive for excellence and improvement.
Highly motivated, autonomous.
Fluent in English, good writing skills.
Preferred Qualifications:
BA in Computer Science or MAMRAM graduate.
Experience in testing methodologies and developing tests (e.g Unit tests, integration tests, system tests).
Strong networking foundations (TCP/IP, DNS, Network Protocols, Routing).
Security principles and techniques (Risk management, Threat modeling, secure configuration).
Database usage experience and understanding.
Experience with Agile development and practices.
Cloud Solution Architect Certificate.

Requirements:
Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.
At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
Track record of shipping complex projects and supporting production systems in a fast-paced environment.
Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
Experience with cloud environments, modern development practices, and production monitoring tools.
BSc in Computer Science or similar.
Additional information
Experience developing or maintaining AI agents or LLM-based systems.
Ability to balance hands-on engineering with people leadership.
Demonstrated ability to manage multi-stream execution with clarity and structure.

Requirements:
Your Experience
7+ years of experience in backend development with Python, Go, Node.js, or Java (Python is an advantage).
3+ years of experience in a cloud environment (AWS preferred) with a deep understanding of SaaS concepts.
Bachelors degree in Computer Science or a related engineering field, or equivalent experience from an elite IDF technology unit.
Comfortable with all aspects of the agile development lifecycle: architecture, design, testing, automation, and production support.
Preferred Qualifications
Experience in enterprise-scale application development in a cloud/SaaS environment, preferably using AWS serverless stack, CDK, and Python.
A proactive nature, a drive for constant improvement, and a keen sense of ownership.
A solid understanding of software security and networking aspects.

Requirements:
Bachelors Degree in Computer Science or a related engineering field, or relevant experience from a technology elite unit.
At least 7 years of software development experience.
5+ years of experience in a backend language such as Python, Go, Node.js, Ruby, or Java.
Deep knowledge and expertise in at least one modern frontend framework (React, Angular, or Vue).
Excellent communication skills, with fluency in written and spoken English.
Preferred Qualifications:
Professional experience with Python.
Good knowledge of TypeScript and RxJS.
Deep knowledge and experience in state management libraries such as Redux or MobX.
A passion for technology and a desire to learn and understand new things in depth.
Proactive nature with an internal drive for excellence and continuous improvement.

Requirements:
Your Experience
Bachelor's degree in Computer Science, Engineering, or a related field.
At least 5 years of experience with Python.
Minimum of 2 years of hands-on experience with AWS.
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment.
Excellent problem-solving skills and strong attention to detail.
Ability to manage multiple projects simultaneously and strong organizational skills.
Preferred Qualifications
Experience with big data technologies like Spark, Kafka, or Flink.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Passion for continuous learning and staying updated with the latest industry trends.
Master's degree in a related field.

Requirements:
Bachelors Degree in Science, Programming or Engineering-related field or Elite unit alumni
5+ years experience in Golang/Java/Python
Excellent design and analytical skills
High ability to use new technologies/Programming Langueges and understand them in depth through rapid self-learning
Proactive by nature; internal drive for excellence and improvement
Creative, out-of-the-box thinking
Excellent interpersonal relations, team player
How will you stand out from the crowd:
Experience With Ruby on Rails
Experience with AWS development
Experienced with microservice/event-oriented design and development
Experience with containers and orchestration tools, such as Docker and Kubernetes
Solid understanding of security and networking implementation and best practices
Diverse technology stack
Fluent in English, good writing skills.

Requirements:
3+ years of back-end development experience in large-scale web applications - required
Familiarity with Ruby on Rails - big advantage
Degree in Computer Science or equivalent
Experience with at least a few of the following: Redux Toolkit, Lit, AWS, CI/CD.
Experience with Docker, MySQL,Elastic Search, AI tools - advantage
Experience with integrating AI workflows into the product SDLC and development process
Team player who pushes colleagues to excellence.
Able to communicate ideas and decisions clearly with both technical and non-technical people.
Thrives in a fast-moving, agile environment, delivering solutions often in terms of hours/days.
Opinionated on technology and how to use it effectively to deliver real benefit to users and the business.
Passionate, yet pragmatic, polyglot programmer with deep knowledge of software development.