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We seek a Senior Full-Stack Engineer to join our R&D web team. In this role, youll work alongside top-tier developers to design, build, and deliver scalable, cloud-based solutions that power our core products. Youll be deeply involved in all stages of development from ideation to deployment
A day in the life and how youll make an impact:
Creating and owning end-to-end features for various web projects, leveraging microservice architecture, cloud functions, and API services
Maintaining and improving code quality and stability, with a focus on multi-tenancy security and user management systems
Leading cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing
Leading and accompanying new products and features from prototype to production, utilizing mono repo architecture and event-sourcing principles
Working closely with customers to gather insights on how to improve the product
Participating in the design and development of cloud-based systems, using GCP cloud functions and Firebase
Ensuring the implementation of robust DRP data recovery systems and pain testing
Developing and maintaining multiple UI applications, using the latest Angular version (19), Flutter, Material Design, and Bootstrap

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

We are looking for an Engineering Director to join our engineering leadership team, reporting directly to the VP of Engineering.
In this leadership role, you will own & manage a multi-disciplinary Engineering group spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your team.
Heres what youll be doing:
Own your Engineering group delivery end-to-end - planning, prioritization, dependencies, risks, and outcomes.
Drive accountability: commitments are kept, blockers surfaced early, quality is non-negotiable.
Directly manage all engineers and the Product Owner in your squad, supported by functional guilds.
Run 1:1s, give meaningful feedback, support growth, and build a high-accountability team culture.
Provide technical guidance in close partnership with Principal Architects and senior engineers.
Stay engaged enough to earn trust, spot risk early, and make informed trade-off calls.
Connect your squads work to business outcomes. Always ask why it matters before deciding what to build.
Participate actively in leadership discussions on roadmap, resourcing, and strategy.

We are looking for an experienced Full-Stack Developer to join our growing team. As part of our R&D efforts, you will play a pivotal role in the development of our core, module-based and feature rich solution and will have substantial impact on our product experience and the business.
we are the workforce management platform behind some of the worlds biggest moments.
Responsibilities:
Design, plan, and build end-to-end features- from concept through production and post-deployment
Take full ownership of features, working closely with Product and Design teams in a fast-paced, dynamic environment
Develop scalable, high-quality code that is used daily by hundreds of thousands of users
Review, optimize, and improve teammates code, contributing to high engineering standards
Challenge existing processes, suggest improvements, and bring new ideas into the team
Have a direct impact on the product, its architecture, and its future direction
Be part of an organic engineering team developing both in-house and with external partners

We're looking for a talented web developer experienced in both sides of the stack to join our team.
A proactive self-motivated person to spearhead the development process for our various products.
On a daily basis you will :
Design and implement technical solutions with an emphasis on quality and performance.
Write smart and precise automated unit tests to speed up the deployment process.
Maintain code troubleshoot and solve issues.

We're looking for a talented and experienced AI/ML executive to join our team; A proactive, self-motivated, hands-on person to spearhead the development process for our various products.
As the VP AI/ML R&D, you will:
Be part of the companys executive team and help shape its strategy.
Build a product that includes cutting-edge technologies that combine Web and Machine Learning.
Lead a team of data scientists, web developers, and project managers.
Define technical requirements and system architecture.
Lead and motivate subordinates to accomplish the goals and objectives of the R&D process.

we are seeking a Full Stack Developer to join our technology department. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities :
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

we are growing rapidly and we are seeking a Senior Full Stack Developer to join our technology team. This position will be instrumental in developing new products and capabilities on our platform for our clients.
Responsibilities:
Collaborate closely with Product and Design teams to build new features end-to-end.
Coordinate with engineering and product leadership to define projects that help us meet business objectives.
Support existing platforms including: additions to features, upgrade of technology and implementation of new clients requests.
Work with support to investigate and debug technical support requests and client issues.
Work in an Agile environment, at a sustainable pace of one/two-week sprints.
Continuously learn and evaluate new technologies and guide team decision making.
Mentor, pair, and delegate work to encourage the professional and technical growth of peers.

Were looking for a strong Senior SW Engineer to join our Data team.

EDR protects the endpoint. we protect everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business.

our company is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure - cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools cant see, our company provides Zero-Impact Breach Prevention, in runtime.

The Role

Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. Youll own its engineering quality - hardening whats there and extending it - working alongside the cyber investigators who define what it should catch.

In this role, you will:

Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage.

Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments - correctness and cost both.

Design the data models and queries the engine depends on, and fix the slow ones.

Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production.

Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on - agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs.

Raise the bar on engineering practice - code review, CI, and the standards the team holds each other to.

Contribute to architectural decisions and technical direction as the platform evolves.

Required Software Engineer
Software Engineer
As a Software Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to solve meaningful customer problems, turn ideas into production-ready software, and leverage modern AI-native development practices to amplify your impact as an engineer.
You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a modern technology stack alongside AI-powered development tools, you will build, experiment, and iterate quickly-turning complex technical challenges into products that deliver real customer value.
Key Responsibilities:
AI-Native Software Development: AI is part of how we build software. You will leverage modern AI tools and agentic workflows as part of your daily development process to accelerate implementation, improve code quality, automate repetitive work, and explore technical solutions faster-while applying strong engineering judgment every step of the way.
Builder Mentality: You dont wait for perfect specifications. You take ideas, challenge assumptions, build prototypes when needed, iterate quickly, and turn ambiguous problems into elegant, production-ready solutions.
End-to-End Ownership: Own your features from idea to production. You build it, you ship it, you monitor it, and continuously improve it-taking full ownership of both customer impact and technical quality.
Product Partnership: Partner closely with Product Managers, Designers, and fellow engineers throughout discovery and delivery. Your technical insights will help shape product decisions before a single line of code is written.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers cloud security platform.
Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.
What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency
Drive the platforms scalability and cost efficiency as scan volumes grow
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability
Write and review clean, maintainable and tested code

We are looking for backend engineers who care deeply about software design, cloud-native infrastructure, and container security. This is a high-impact role with real ownership - lead features end-to-end, mentor teammates, and help shape the technical direction of KSPM offering.
Our Stack: Python, Go, K8s APIs, K8s ecosystem tooling (OPA/Gatekeeper, admission controllers), Docker & container runtimes, SingleStore, Postgres, Redis, Kafka, SQS, ElasticSearch, AWS, GCP, Azure.
What Youll Do:
Design & build at scale: Design, implement, and maintain scalable backend services that discover, onboard, scan, and analyze Kubernetes environments across multi-cloud and managed clusters.
Model K8s security: Map and represent Kubernetes resources as clean data models that surface misconfigurations, exposure risks, and compliance violations.
Integrate detection engines: Integrate and evolve detection engines for container vulnerabilities, secrets, RBAC risks, misconfigurations, and compliance frameworks.
Collaborate on research & product: Partner with security researchers and product managers to translate novel findings and complex requirements into impactful features.
Design for quality: Write clean, well-tested code in Python or Go, with thoughtful abstractions and APIs that keep the system correct and maintainable as it grows.
Lead & mentor: Lead design discussions and code reviews that uphold high engineering and security standards across the team.
Own it end-to-end: Own features through their full lifecycle - from technical specification and design through implementation, testing, and release.

We're looking for an Automation Engineer to join the System Automation team, the central automation team within engineering department. SA owns the company-wide system automation platform: the system, correctness and performance tests, and the pipelines that run them, across products and a rich technology stack.
Our current focus is scale and performance. We test the limits of the system, benchmark it against realistic, large-scale workloads, and catch performance regressions before every release. We're also turning that expertise into a platform, with frameworks, tooling and know-how that let product teams write and run system tests themselves. You'll work closely with developers, architects, product managers, QA and DevOps engineers, and you'll help shape both the tests and the platform.
What you'll do:
Design, build and evolve the SA platform: the frameworks, tooling and CI pipelines that run system, correctness and performance tests across products.
Plan and run system-limitations testing to find where the product breaks under data volume, concurrency and load, and turn the findings into clear, actionable results.
Build and maintain performance benchmarks on realistic workloads, and run them on to catch regressions early.
Make it easy for product teams to own their system tests by creating reusable building blocks, documentation and examples, and by coaching engineers through knowledge-sharing sessions.
Analyze results with developers and architects to pinpoint bottlenecks and drive fixes
Use AI-assisted development tools and agentic workflows to speed up test creation and maintenance, and keep up with what's changing in automation and performance engineering.

Required Staff Engineer - Office of the CTO
As a member of the Office of the CTO, your mission is to make every engineer 10x more effective. You will be a central driver in reimagining our Software Development Lifecycle (SDLC), building the intelligent platforms, automated golden paths, and AI-powered tools that will fundamentally change how we build software. This is a rare opportunity to have a massive, force-multiplying impact on our entire R&D & Product organizations, building the systems that enable hundreds of engineers to innovate faster and deliver with exceptional quality. The role is based in our Tel Aviv office.
Key Responsibilities:
Shape the Software Factory: Act as a key thought leader in shaping our Software Factory - the agentic workflows and loops that carry work from idea to production. You will research, prototype, and build the agents, harnesses, and tools behind them, and define the governance, controls, and standards that keep the factory predictable and safe at scale.
Build the Platform Beneath It: The factory only runs on solid foundations, and the Office of the CTO owns them. You will take a hands-on role in building and scaling the shared infrastructure every agentic workflow depends on - our AI gateway, shared memory and context graphs, guardrails, and the golden paths that abstract this complexity away from the teams using it.
Make Quality Automatic: Turn those standards into enforcement - automated gates in our CI/CD pipelines, evaluations and guardrails for agent-generated work, and the telemetry that tells us whether the factory is actually producing better outcomes. Quality, testing, security, and reliability become the default, not the exception.
Drive Adoption & Foster Community: Champion the tools you build. You will create documentation, lead workshops, and act as an internal advocate for your users, turning their feedback into the next iteration. You will also mentor and guide builders across R&D and product - in Tel Aviv and across our global sites - helping to foster our AI-native culture.