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Deep Research and Development for top notch technology in the Windows OS environment
Windows Kernel Mode/User Mode development (C/C++)
Cyber Security oriented development
Working as a team member as well express innovation, broad view and opportunity to influence and create tremendous value.

We are looking for a senior ML engineer to join us and build groundbreaking systems designed to handle massive-scale data at an unparalleled magnitude
In our team, we engineer mission-critical solutions that address some of the complex and high-stakes challenges at a national level
Our unique data poses novel challenges, pushing us to continually innovate and redefine what's possible
עוד על התפקיד
Engineer, design and implement robust, high-performance data-driven pipelines and infrastructure
Design critical systems for production environments, including observability, monitoring, CI/CD pipeline, and resource management.

We are looking for a Senior low level Developer to join our core and specialized team, focusing on communication and cyber domains.
If you have a passion for development and research, a love for networking and the internet, and a desire to make an impact - your place is with us.
עוד על התפקיד
In this role, you will be responsible for researching, designing, developing and implementing real-time systems in the cyber domain. The position emphasize a deep understanding of the internet, development of complex systems, performance optimization, and innovation.
The work involves in-depth research, designing complex software architectures, writing high-quality code, and maintaining strong connection with various users while supporting capabilities during significant operations and activities.

We are seeking a highly skilled and versatile Senior Data Infrastructure Engineer to join our team and participate in the design, implementation and maintainance of cutting-edge Data Platforms and Big Data solutions. This position allows you to have the unique opportunity to significantly impact intelligence processes, contribute to counter-terrorism efforts by leveraging advanced Big Data technologies.
This role combines expertise in Big Data Infrastructure, Big Data Engineering, architecture and support of critical operations and intelligence processes.
עוד על התפקיד
Design, install, maintain and upgrade Big Data technologies.
Monitor and optimize system performance, identifying areas for improvement and implementing solutions.
Provide technical support to internal teams and end-users, ensuring seamless operations.
Conduct POCs and recommend adoption of new technologies and tools in the Big Data domain.
Develop automation solutions for infrastructure management, empowering teams to operate efficiently.

We are looking for a Senior Software Engineer to join a high-performing team of engineers shaping the future of cloud security.
This is a unique opportunity to work on a next-generation SaaS platform, tackling complex engineering challenges in distributed systems, scalability, and performance, while collaborating with top engineers, researchers, and product leaders.
If you are passionate about building systems from the ground up, love working with cloud-native technologies, and want to make a real impact - this role is for you.
What You Will Own:
Design and build core backend systems and infrastructure powering Aquas SaaS platform
Develop scalable, multi-tenant microservices in a cloud-native environment
Take full end-to-end ownership - from design and development to production and monitoring
Collaborate with Engineering, Product, and Security Research teams to solve complex cybersecurity challenges
Build and optimize distributed, event-driven systems at scale
Work in a modern CI/CD environment with cutting-edge technologies
Lead and execute PoCs and technology evaluations
Partner with customers and internal stakeholders to deliver impactful solutions
Continuously improve performance, scalability, and reliability

A growing early-stage FinTech startup company, building a next-generation financial platform for companies, is looking for its Founding Senior Software Engineerto join the founding team and play a key role in shaping the product, architecture, and engineering culture from the ground up.
This is a unique opportunity for a senior engineer who enjoys ownership, technical challenges, and building impactful products in a highly hands-on environment.
Responsibilities:
Design, develop, and own core features across the full stack.
Build scalable backend services, APIs, and data workflows.
Develop React-based frontend applications.
Design reliable PostgreSQL data models and ensure data integrity.
Take ownership of features from concept to production.
Collaborate with the CTO and founders on architecture and product decisions.
Contribute to engineering practices, infrastructure, and AI-assisted development workflows.

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

Company Overview: Our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Our AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close cases faster and safeguard communities.?To learn more, visit us in our website.

Position Overview: As a Senior Software Developer in Cellebrite Labs, your daily mission involves designing and developing advanced capabilities to extract digital evidence from modern Android and IOS devices. You will tackle some of the toughest security protections such as PAC, Secure Elements, Code Signing, Hypervisors, and more. Working in the heart of the Digital Intelligence Labs group, you will contribute to productizing world-unique capabilities that enable law enforcement and private sector customers to conduct legally sanctioned forensic investigations effectively and securely. This role requires a combination of deep technical knowledge, creativity, and persistence to solve complex problems while collaborating closely with top researchers and engineers. Your work will have a direct impact on investigations that save lives and uphold justice globally.


Key Responsibilities:
* Lead and contribute to the development of new extraction technologies for Android and IOS platforms.
* Analyze and reverse-engineer low-level OS internals and security mechanisms.
* Develop robust system -level software in C, C ++, and Python.
* Collaborate with cross-functional teams to design, TEST, and integrate new capabilities into our Digital Intelligence platform.
* Stay current with emerging mobile security technologies and forensic challenges.
* Share knowledge and best practices within the team to elevate overall engineering quality.

Office Location:
Tel Aviv

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are seeking a hands-on technical leader to architect and lead the development of production LLM-based applications. This role will lead a cross-functional team of software engineers and data scientists and will own architecture, delivery, evaluation, observability, and production readiness.



The ideal candidate is a proven software leader who has delivered complex production-grade systems and can align engineering, data science, product, and platform work into one cohesive execution model. The role requires strong software architecture, applied AI judgment, disciplined execution, and people leadership, with a focus on turning ambiguous product goals and exploratory AI work into reliable production software.



Responsibilities:

Lead a cross-functional team of engineers and data scientists developing LLM-based applications.
Translate product and business goals into technical roadmaps, milestones, and deliverable plans.
Own end-to-end delivery from architecture and experimentation through deployment, monitoring, evaluation, and continuous improvement.
Design LLM workflows using RAG, tool calling, structured outputs, agents, deterministic logic, and human-in-the-loop patterns where appropriate.
Establish evaluation-driven development practices for LLM features.
Define quality metrics, regression tests, golden datasets, production feedback loops, and observability standards.
Ensure systems meet production standards for scalability, performance, reliability, security, and maintainability.
Provide technical guidance, architectural oversight, mentorship, and career development for team members.
Manage priorities, scope, risks, and trade-offs across multiple streams of work.
Partner with product, design, DevOps, data engineering, security, and other technical leaders.
Drive continuous improvement in delivery quality, engineering practices, and team effectiveness.


Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are looking for a Senior Software Engineer with deep system-level experience to help strengthen and scale the infrastructure behind our security agent. In this role, you will work closely with multiple teams across the organization, focusing on building robust foundations that support reliability, performance and growth of an already production-proven agent.

Responsibilities
Design and improve core infrastructure components of the LayerX security agent
Strengthen scalability, reliability and performance of the agent in real-world customer environments
Build and evolve communication, update and configuration mechanisms for the agent
Work across teams to support agent-related infrastructure needs and long-term scalability efforts
Debug complex system-level issues and lead root cause analysis in production-like environments
Influence architectural decisions related to agent infrastructure and scale

We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.

This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.

What Youll Do

Design and build high-performance distributed systems

Design and implement backend infrastructure and API endpoints

Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

Improve performance, monitoring, and reliability across the stack

Own core systems and contribute to key architectural decisions

Help shape a strong engineering culture focused on velocity and quality

As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. Youll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What Youll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve capabilities in resilience, speed, and authenticity of web interaction

We are looking for a Senior AI Software Engineer to build the agents that sit on top of our search platform: systems that take a user's intent, break it into steps, gather and verify information from the web, and return answers an agent can act on. You will work across applied research and engineering, designing how agents plan, call tools, retrieve, and reason so they accomplish open-ended tasks reliably and at scale.

This is a high-ownership role at the intersection of agent systems, retrieval, and product. You will turn frontier-model capabilities into dependable, production-grade agent behavior, and you will own that behavior end to end, from the prompts and tools to the evaluation that proves it works.

In this position, your responsibility will be to

Design and build AI agents that plan, retrieve, and reason over real-world information to complete open-ended tasks

Build the tool interfaces and context engineering that let frontier models use our search and other tools effectively

Mine and analyze usage data to build agents that learn and improve continually from how they are used

Turn new model capabilities into reliable product features, and own them from prototype to production

Define the evaluations, metrics, and guardrails that prove an agent is accurate, grounded, and safe

Improve agent quality across reasoning, planning, tool use, and grounding against real user tasks

Build the backend and infrastructure that run agents reliably under high volume

Collaborate with the search, ML, and product teams to make agent and platform capabilities reinforce each other