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Requirements:
Bachelors degree in Computer Science or a related technical field.
1-3 years of software engineering, implementation engineering, technical consulting, or equivalent hands-on experience.
Strong programming fundamentals, preferably using Python, or another backend language.
Apply an AI-first approach to problem solving, leveraging AI tools to accelerate development, debugging, and solution design while maintaining strong judgment.
Basic experience building or consuming REST APIs.
Working knowledge of SQL and relational databases.
Ability to debug technical problems methodically.
Strong communication skills and comfort speaking with technical customers.
Ability to learn unfamiliar systems quickly.
Organized, dependable, and comfortable managing multiple tasks.
Willingness to work across coding, customer communication, testing, deployment, and support.
Nice to Have:
Experience with enterprise software integrations.
Experience with cloud platforms, Docker, CI/CD, or production monitoring.
Experience in cybersecurity, identity, IT systems, or enterprise SaaS.
Previous customer-facing engineering, support engineering, or implementation experience.

Requirements:
5+ years of experience in Product Management within the B2B SaaS space (Cybersecurity experience is a must).
Proven experience in a fast-growing startup environment, ability to thrive in ambiguity and adapt to rapid changes.
Deep understanding of the cybersecurity ecosystem and modern cloud environments (AWS/Azure/GCP).
A strong eye for design and user experience. Experience building products that are customer facing and intuitive, despite their technical complexity.
Familiarity with AI driven products or agent-based systems.
Ability to take the complex and make it simple whether you're talking to a developer or a C-level executive.
Previous experience as a Software Engineer is an advantage.

Requirements:
Minimum of 5 years of experience in DFT engineering for complex IC designs.
Proficiency in using DFT tools such as Mentor Graphics Tessent, Synopsys DFTMAX, or Cadence Modus.
Experience with scan, BIST, and boundary scan methodologies.
Solid understanding of digital design, VLSI design flow, and verification processes.
Strong problem-solving skills and attention to detail.
Excellent communication skills and ability to work collaboratively in a team environment.

Requirements:
5+ years of proven experience in managing and leading multidisciplinary defense/Aerospace programs.
5+ years experience in customer relations outside of Israel - program management, presales.
Fluent English - speaking, writing, reading - Must.
Capable to formulate program management documentation, both internal and external (Presentations, DRs, Risk Management, Vendor SOW, etc.).
Advantage - Proven experience in system engineering.
Advantage - Experience in Airborne and Mil-STD systems.
Highly proficiency with project management tools - MS- project act.
Excellent understanding of program execution methodologies.
An independent problem solver.
Excellent communication skills, team worker and ability to thrive in a global multi-site environment.
Ability to work in a fast pace environment.
Strong leadership skills and experience managing programs, operational teams and timelines.
Dual citizenship US/Israel - Advantage.
Education:
BSc/MSc in Physics or Electrical/Mechanical/Aeronautical/System Engineering.
PMP, Program Management Professional.

Requirements:
An MSc degree in electrical engineering and honored student, with more than a year left until graduation.
Good understanding and experience with Machine Learning and Data Engineering.
Multi-disciplinary knowledge (mechanics, electronics, RF, software, hardware).
Ability to work independently and as part of a team.
Strong analytical and problem-solving skills.
Able to work on Python right away.
Highly motivated - can do approach.
Independent research skills.
Preferred Skills:
Experienced with Agentic RAG systems and LLMs.
Experience with CI/CD pipelines Git (DevOps) and Software QA.
Solid knowledge in RF and Satellite Communication.
Familiar with lab equipment (e.g., fluke, oscilloscope, Spectrum Analyzer).

Requirements:
5+ years of hands-on experience in Full Stack development, delivering production-grade applications.
Proficiency in modern frontend frameworks (React) and backend technologies (Node.js or Python).
Experience with database design/optimization (PostgreSQL,Redis) and API development (REST, GraphQL).
Solid understanding of software security principles and secure coding practices.
Proven track record with cloud platforms (AWS, GCP, or Azure).
Preferred Qualifictions:
Experience with real-time technologies (WebSockets) and containerization (Docker, K8s).
Background in building cybersecurity tools or developer tools.
Experience integrating AI/ML models into production workflows.
Prior experience in elite technology units (e.g., 8200, 81).

Requirements:
5+ years hands-on backend / full-stack- MUST
Strong system design fundamentals: data modeling, scale, resilience, trade-offs- MUST
Versatility across the stack, with real experience owning services in production on cloud infrastructure- MUST
Daily, practical use of AI coding agents beyond prompting: context management, planning, skills/commands, MCP- MUST
Proven end-to-end ownership of complex projects- MUST
Experience in Cybersecurity, data security, or data-heavy platforms- Advantage
Built AI-native features in production: LLM pipelines, agents, evals- Advantage

Requirements:
5+ years of experience in Windows Kernel Engineering
Experience in building Windows/Mac agents
Background in the cybersecurity industry- Advantage!
Technologies:
Windows Kernel / Windows Internals
Filesystem Minifilters
Filesystem Drivers
C / C++
WinDbg
WDK
Visual Studio
Go

Requirements:
Crazy personal drive. Be a bulldozer.
Insatiable creativeness. Be a big dreamer.
You've led an engineering team to predictable delivery - stable output, dates that hold
You turn one-off solutions into repeatable process by instinct
You have a hiring network and a real eye for engineering talent
You can move between a code review and a CIO conversation in the same afternoon, and be taken seriously in both

Requirements:
4+ years of experience in technical project management, implementation management from technologies companies - A must.
Proven hands-on experience as a Software Developer, with a strong understanding of software development processes and technical architecture - A must.
Strong technical foundation, comfortable discussing APIs, integrations, system architecture, and workflows with engineers and customers.
Proven experience working directly with enterprise customers on complex technical projects.
Excellent communication and stakeholder management skills, with a customer-first mindset.
Highly organized, proactive, and comfortable managing multiple parallel initiatives.
Thrive in fast-paced, ambiguous environments and enjoy being the connective tissue between teams.

Requirements:
You have 5+ years of engineering experience, 3+ of them building real products across both frontend and backend.
You're strong in at least one modern typed language and ecosystem: TypeScript, Python, Go, Java, C#. We write TypeScript, and we expect you to be productive in it fast, but we hire for how you think, not for which language you last used.
You're genuinely full-stack - you can debug a React render, a slow query, and a stuck queue in the same day.
You know relational databases properly: schema design, indexes, transactions, and what happens under concurrency.
You've worked with distributed systems and know where the race conditions hide.
You're product- and solution-oriented - you ask what the customer is trying to do before you ask what to build.
You can take a vague, complex problem and turn it into an architecture that Just Works.
You care about your teammates, and you're looking to both learn and teach.
You work AI-natively. You use coding agents seriously, and you build the things that make them useful - skills, agents, evals, internal tooling, context that makes the whole team faster. This is how we work, not a side project.
You believe a small, dedicated team beats a big one.
You've built LLMs in production - not a demo, but something with evals, guardrails, and regression testing behind it.
You've worked in a regulated or high-stakes environment where auditability wasn't optional.
You take pride in frontend architecture - accessible, responsive, fast components.
An early-stage startup is what you're actively looking for: hard work, processes that aren't fully defined, and a lot of freedom.