לוח משרות דרושים

Requirements:
10+ years of experience in cybersecurity or IT risk consulting roles, with strong experience in AI and ML security or adjacent domains including architecture, governance, or operations.
Proven track record of leading client engagements and complex technical teams.
Experience shaping commercial offerings, leading pre-sales activities, and winning new business.
Technical & Domain Expertise:
Deep understanding of AI and ML systems, models, data governance, and related threats including data poisoning, model evasion, extraction, and integrity risks.
Skilled in secure architecture design patterns for AI and ML platforms, cloud environments including AWS, Azure, and GCP, containers, orchestration with Kubernetes, and identity systems.
Familiarity with AI security frameworks and standards, including ISO 42001, and risk models.
Knowledge of NIST, MITRE ATT&CK, CSA, and GRC methodologies.
Leadership & Business Skills:
Strong client management and selling skills, including the ability to engage C-level stakeholders.
Excellent communication, presentation, and strategic thinking capabilities.
Ability to articulate complex technical risks in business terms.
Certifications (Preferred):
CISSP, CISM, CCSP, and AI security or data governance certifications.

Requirements:
At least 2 years of experience implementing systems / technological solutions / platforms
Strong technological background with solid system-level understanding
Bachelors degree in a relevant technological field (e.g., Information Systems, Industrial Engineering & Management, or similar)
Experience working with Low Code / No Code platforms
High level of English (spoken and written)
Strong problem-solving skills, fast learner, and ability to work both independently and as part of a team
Experience with modern AI-assisted development approaches (e.g., Vibe Coding) - advantage
Advantages:
Hands-on experience with Microsoft Power Platform and practical experience using Microsoft Copilot (including Copilot Studio)
Hands-on experience building solutions on Microsoft Dynamics
Experience with Google Cloud Platform (GCP)
Experience working in project-based environments with clients
This position is open to all candidates. We are committed to diversity and view it as a source of strength and growth. We believe in inclusion and empower women and men alike.

Requirements:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

Requirements:
-Technological background - a must
-Relevant degree - a must
-3 years experience in implementation of Monday.com
-Experience in project management- a must
-Experience in implementing technological platforms - a must
-Experience in the financial world - an advantage
-Certification from the worlds of projects - an advantage
-Motivation and desire to learn
-English at a native level
The position is open for all genders as well as people with disabilities.

Requirements:
7+ years of experience in technology leadership roles (e.g., development manager, solution architect, or similar).
Strong technical expertise in areas such as software development, cloud platforms, enterprise architecture, or data analytics.
Proven experience in customer-facing roles, with excellent communication and presentation skills.
Demonstrated experience in sales processes and business development, including technical pre-sales.
Bachelors degree in Computer Science, Engineering, or related field (MBA or advanced business education is a plus).
Fluency in Hebrew and English.

Requirements:
B.Sc. in Computer Science or Software Engineering from a top-tier academic institution (Technion, TAU, BGU, HUJI, or the Open University)
3+ years of professional software engineering experience building and maintaining production web application systems.
Strong backend experience with Python or TypeScript, working within service-oriented architectures.
Experience developing frontend web applications using TypeScript and modern frameworks such as React.
Solid production experience with relational databases, including schema design, query optimization, and performance tuning.
Experience working with AWS and cloud-based infrastructure, and improving developer workflows in multi-repo environments.
Experience designing and maintaining REST APIs used by web applications.
Strong debugging skills and experience troubleshooting performance and reliability issues in production systems.
Proven experience leading the full dev lifecycle: from driving technical design and scaling product requirements, to hands-on execution with high standards for code reviews, documentation, and incremental delivery.
Strong communication skills and an ownership mindset.
Advantages:
Hands-on experience with FastAPI and/or NestJS.
Strong experience with PostgreSQL, including advanced schema design, indexing strategies, and performance optimization.
Experience writing automated tests (unit + integration) and end-to-end testing using tools such as Playwright.
Experience working with observability and monitoring tools such as Coralogix and Sentry.
Experience with performance testing tools (e.g., JMeter, k6) and monitoring stacks (e.g., Prometheus, InfluxDB, Grafana).
Experience working in a monorepo environment with shared code and coordinated cross-project changes.
Experience with Redis, RabbitMQ, or Kafka.

Requirements:
2-4 years of hands-on experience in backend development.
Strong programming skills, with expertise in Python.
Bachelors degree in Computer Science, Computer Engineering, or a related field (Preference for top-tier universities).
Deep understanding and proven experience with relational databases (PostgreSQL or equivalent).
Experience designing and integrating with APIs (RESTful services).
A "quality-first" mindset: Strong understanding of testing methodologies and writing code for highly sensitive/critical systems.
Tech-savvy and adaptable: Experience or a strong desire to incorporate AI dev tools into your daily workflow, combined with the critical thinking needed to review and validate AI-generated code.
Independent, proactive, with great interpersonal skills.
Nice-to-Have:
Previous experience in Fintech, billing, or payment systems.
Experience working with microservices architecture.
Familiarity with AWS.
What we offer:
- A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.
- Smart, dynamic people with whom you can share the experience of building something unique.
- Competitive salary with opportunities for growth and advancement.

Requirements:
8+ years of enterprise B2B sales experience, preferably in AI infrastructure, cloud, or deep-tech SaaS
Proven track record of building pipeline and closing new business
Experience selling into AI/ML teams, SaaS companies, or infrastructure buyers
Strong ability to manage complex, multi-stakeholder enterprise sales cycles
Technical fluency in AI inference, GPUs/XPUs, or cloud-native architectures
Ability to translate technical capabilities into clear business value (cost, performance, ROI)
Hands-on, self-starter mindset with proven success in sales within a fast-paced startup environment.
Strong communication, negotiation, and executive presence
Advantages
Experience with AI infrastructure, GPU cloud, inference platforms or experience for SaaS products for Kubernetes optimization
Background in companies such as Google Cloud, Run:ai, Cast AI, Zesty, Flexera, Lambda, Together AI, Baseten, Replicate
Familiarity with enterprise sales methodologies (MEDDICC / MEDDPICC / Command of the Message)
Existing network across the AI infrastructure ecosystem (Israel and globally)
Experience selling early-stage or category-defining products

Requirements:
7+ years of experience in technology consulting or similar roles within leading consulting firms.
Strong understanding of business processes, operational models, and digital transformation strategies.
Proven ability to work in customer-facing roles, with excellent communication and presentation skills.
Demonstrated experience in sales processes and business development, including pipeline management and client acquisition.
Experience managing complex projects and delivering high-quality outcomes under tight deadlines.
Fluency in Hebrew and English.

Requirements:
Bachelor's or Master's degree in Electrical Engineering with 8+ years of relevant experience in hardware/board design- Must.
Expertise in PCB technology and layout for both analog and digital circuits, including stack-up, placement, routing, and signal/power integrity (SI/PI) for high-speed (ETH112G, PCIe Gen5, DDR5, etc.) and high-power systems.
Hands-on experience in high-precision signal measurement and system engineering.
Strong troubleshooting skills, with the ability to diagnose issues, identify root causes, and implement corrective actions.
Excellent verbal and written communication skills in English, enabling collaboration with design, evaluation, and production engineers, customers, technical marketing engineers, and program managers.
In-depth understanding of system architecture.
Programming knowledge and experience (a plus but not required).

Requirements:
Must-Have
2-5+ years of experience in data center operations or infrastructure engineering (adjust depending on level).
Strong understanding of server hardware, cabling standards, and rack/stack procedures.
Experience with network fundamentals (TCP/IP, VLANs, routing & switching).
Ability to lift and move equipment (up to ~25 kg / 50 lbs if required).
Knowledge of monitoring tools and ticketing systems.
Excellent troubleshooting and problem-solving skills.
Nice-to-Have
Experience with virtualization platforms (VMware, KVM, Hyper-V).
Knowledge of Linux/Windows system administration.
Familiarity with Data Center Infrastructure Management (DCIM) tools.
Experience in cloud or hybrid environments.
Certifications: CompTIA Server+, Network+, CCNA, or equivalent.
Soft Skills
Strong communication and documentation abilities.
Ability to work independently and collaboratively.
High attention to detail and operational discipline.
Ability to perform in high-pressure, mission-critical environments.

Requirements:
5+ years (or equivalent) building modern web applications.
Strong proficiency in front-end development fundamentals (DOM, HTTP, performance, browser behavior).
Solid experience with a modern UI framework such as React, Vue, or Angular (React preferred).
Back-end experience with at least one ecosystem (e.g., Node.js, Java, Python, Go, Rust) and building REST and/or GraphQL APIs.
Working knowledge of databases (SQL and/or NoSQL), schema design, and query optimization.
Familiarity with authentication/authorization patterns (JWT, OAuth, session-based auth).
Practical experience with CI/CD, Git workflows, and shipping to production.
Strong communication skills and a bias toward ownership and delivery.
Nice to Have
Experience with cloud platforms (AWS/GCP/Azure), containers, and Kubernetes.
Observability tooling experience (OpenTelemetry, Prometheus, Grafana, Datadog, etc.).
Security mindset: OWASP Top 10 awareness and secure coding practices.
Experience developing large-scale, user-facing web products.

Requirements:
Must
BSc in Computer Science or related degree, or equivalent experience.
6+ years of experience as a Software Engineer.
Proven experience as a technical leader / tech lead.
Strong backend development experience (e.g., Python, Node.js, Java).
Strong frontend development experience (e.g., React or similar).
Experience designing APIs and distributed systems.
Strong system design and problem-solving skills.
Fast self-learner with strong ownership mindset.
AI & LLM Experience
Deep understanding of LLMs, their behavior, limitations, and how to incorporate them into production systems.
Experience with context engineering, prompt engineering, and retrieval-based workflows (e.g., RAG).
Ability to design AI integration workflows and incorporate LLMs into larger application logic
Advantage
Experience with cloud-native architectures and CI/CD.
Experience with databases and data pipelines.
Experience working on high-scale, performance-critical systems.
Experience developing high-scale security solutions.
Experience with AI evaluation, guardrails, or cost optimization.