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לפני 7 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Own the surfaces developers touch every day - the company CLI, our SDKs, the Electron desktop IDE, and the docs. Make the path from zero to a deployed app feel effortless.
Requirements:
3+ years of software engineering with a focus on tooling or DX
Strong TypeScript, with sharp instincts for API and CLI design
Experience shipping and versioning developer-facing libraries
Care for docs, examples, and the first-five-minutes experience
Bonus: Electron, Go for CLI tooling, npm/registry publishing pipelines.
This position is open to all candidates.
 
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לפני 7 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Shape the developer-facing surfaces of our company- the CLI, dashboard, App Builder, and documentation. You will own full features from design to production across TypeScript, React, and Go.
Requirements:
2+ years of full-stack engineering
Strong TypeScript and React skills
Experience with REST and gRPC APIs
Good intuition for developer UX and interface design
Bonus: Next.js and Tailwind, Go for backend and CLI work, Protobuf and gRPC.
This position is open to all candidates.
 
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12/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Connect is a Node CLI and a signed tray app for macOS, Windows and Linux. It points a developer's AI coding tools at our gateway by writing each vendor's own config, signs them in, keeps their credentials fresh, and repairs itself when something drifts. For IT, it ships the artifacts they need to roll it out across a fleet.

It's real, it's shipping, and customers are using it. You'd own it.

03What you'll do
Own Connect. The CLI, the tray app, updates, docs, and what ships next.
Write into other apps' config without breaking them. Back up what you touch, roll back cleanly, and never leave someone's setup worse than you found it.
Keep up with vendors. Config shapes change under us. Check before writing, and fall back to a manual path instead of guessing.
Stay clear of antivirus. Persistence and credential helpers are exactly what EDR watches for. Measure what actually trips a scanner instead of assuming.
Ship for managed fleets. Profiles, policy, credential helpers, and silent rollout. That's what an admin needs to push this to a few hundred laptops at once.
Make it debuggable from far away. Health checks, repair commands, and diagnostics that carry metadata only. Never prompts, never keys.
Requirements:
Strong TypeScript, and a few years of shipping code you still owned afterwards.
You've shipped client-side software onto machines you couldn't reach: a desktop app, CLI, agent, installer, or IDE extension.
You're careful with other people's state: atomic writes, idempotency, and a clean rollback when something fails halfway.
You'll pick up the Windows bug, not just the Mac one.
You write tests, and you can debug from logs and a screenshot with no shell on the box.
You already build with AI coding tools.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.
Requirements:
What you'll need to thrive in this role
Full-Stack Software Engineering Expertise: Demonstrated track record of delivering end-to-end products with strong proficiency in React and Next.js..
Hands-on AI Agent Development: Practical experience leveraging tools like Claude Code, Codex, or Cursor, paired with a solid grasp of agentic infrastructure, custom tooling, and MCP server integrations.
Solid understanding of data concepts: (SQL, familiarity with data warehouses like BigQuery/Snowflake).
DevOps & Infrastructure fluency: Familiarity with Docker, CI/CD pipelines, Cloud Run (or equivalent serverless execution environments), and API workflow orchestration tools (like n8n or Zapier).

Mindset & Execution
"Builder" Energy: You bring a proactive, hands-on approach to your work. You prioritize shipping high-value, functional tools to solve problems quickly, rather than waiting for ready-made PRD docs or perfect specifications. You prefer building and iterating to drive progress and impact.
Business & Product Curiosity: You care about why a tool is being built and how teams across Product, GTM, and Operations will use it to make better decisions and drive business value.
Architectural Judgment: You can hold complex system integrations in your head, understand how web apps and AI services interact with data layers, and choose simple, resilient solutions over over-engineered ones.
High Ownership: High autonomy. You are comfortable running your own priorities, communicating trade-offs to executives, and guiding the technical direction of internal software.
Bonus points if you have
Hands-on experience building or tuning LLM/AI agent workflows, prompt architecture, or MCP servers.
Experience developing internal tooling, data products, or SaaS features for Product, Revenue Operations, or GTM teams.
Exposure to self-hosted tools like Metabase, LibreChat, or n8n.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.
Requirements:
Core Engineering
Minimum of 5 years of hands-on development experience with Python and/or TypeScript.
Experience building asynchronous backend services and APIs using FastAPI or an equivalent modern framework.
Strong software-engineering, analytical, troubleshooting, and cross-functional collaboration skills.
Ability to build reliable, reusable internal platforms that improve developer productivity and accelerate technology adoption.

Infrastructure & DevOps
Strong experience with Kubernetes and Helm, including deployment, networking, resource management, autoscaling, troubleshooting, chart development, templating, versioning, and release management.
Strong experience with Docker, Jenkins, GitHub Actions, and AWS and/or Azure.
Familiarity with Infrastructure as Code, GitOps, and Git-based collaborative workflows.

AI & GenAI
AI Experience - Mandatory: Minimum of 2 years of hands-on production experience building LLM-powered applications, AI agents, multi-agent systems, or internal AI platforms.
Hands-on experience with LangChain, LangGraph, Claude Agent SDK, and OpenAI and/or Anthropic APIs.
Strong understanding of agent architecture, including planning, tool selection, delegation, state and memory management, retries, fallbacks, error recovery, and human-in-the-loop workflows.
Experience with prompt and context engineering, tool/function calling, and structured outputs.
Experience building and integrating MCP servers and clients, including tool schemas, permissions, reliable execution, and error handling.
This position is open to all candidates.
 
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14/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for our first Forward Deployed Engineer. You'll sit directly with our customers' engineering teams and get their workloads- from the first scoping conversation to a production endpoint carrying real traffic, at a cost and latency profile they couldn't hit anywhere else.
This is an engineering role. You will write code every day, in customer repos and in ours. It also carries pieces of solutions architecture, product management, and pre-sales, and you should want that mix rather than tolerate it. Ambiguous business goals come in; observable, benchmarked, production services go out.
As the founding FDE you also define the function: what a POC looks like, what we promise and measure, which patterns get productized, and how the field feeds the roadmap. The next FDEs will work from what you build here.
What You'll Do
Own customer outcomes end to end: problem framing, evaluation design, migration, deployment, benchmarking, monitoring. You're the technical owner from first call through expansion.
Win the POC: turn a vague objective into a tight spec and a working proof of concept fast, with explicit quality, latency, throughput, and cost-per-token targets - and hit them.
Tune serverless inference for real workloads: model and engine selection, batching strategy, KV cache behavior, speculative decoding, quantization, parallelism, cold-start and autoscaling behavior under bursty traffic. Diagnose regressions down to the inference engine.
Migrate workloads: move customers off OpenAI-compatible APIs, self-managed vLLM, SageMaker, or their own GPU fleets - and prove out the quality and cost delta with numbers.
Guide model strategy: advise on open-weight model selection, distillation, and fine-tuning for specific tasks; help customers get from a general-purpose frontier model to a smaller, faster, cheaper one that holds quality.
Close the product loop: bring the field back into the roadmap - write the PRDs, land the PRs, and turn one-off customer work into platform features.
Be the technical anchor in the room: support sales on complex evaluations, run technical onboarding, earn trust with staff engineers and CTOs.
Requirements:
4+ years building and shipping production software
Inference in production: hands-on experience serving LLMs with vLLM, SGLang, TensorRT-LLM or equivalent, and real intuition for what makes inference fast or expensive.
Optimization fundamentals: working knowledge of batching, KV cache, quantization, speculative decoding, tensor and pipeline parallelism - and the tradeoffs between them.
Model judgment: fluency with the open-weight model landscape and good instincts on model selection for a given task, hardware profile, and latency budget.
Production cloud comfort: containers, Kubernetes, observability, CI/CD. You don't need to be an SRE, but nothing here should be a black box.
Range in the room: you can hold a technical conversation with a skeptical staff engineer and a commercial one with their VP, in the same meeting.
Default ownership: ambiguity, unfamiliar codebases, and a customer waiting on you are the normal conditions of this job, not exceptions.
Bonus Points
Prior forward-deployed, solutions architecture, or applied ML engineering experience at an infrastructure company.
Post-training experience: LoRA, SFT, DPO, RLHF, GRPO, distillation.
GPU-level performance work CUDA, Triton, memory bandwidth and throughput profiling.
Experience selling into or building for regulated, data-sensitive enterprises.
Open-source contributions to inference or serving projects.
You've been the first or second person in a function before.
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
we are looking for a Full-Stack Engineer.
Own features end-to-end across our FastAPI + React/TypeScript stack - the catalog, the seller wizard, payments, admin tooling, and the infrastructure layer we're building next.
What you'll do
Design, build, test, and deploy features across the frontend (React + TypeScript) and the backend (FastAPI + PostgreSQL).
Work on what buyers and sellers touch every day - the catalog, the listing wizard, checkout, the seller dashboard, admin tools.
Help build the next phase: hosting and running sellers' apps on our own infrastructure.
Keep the bar high - tests, code review, security-minded by default.
Requirements:
At least 3 years building production web apps, comfortable across the full stack.
Strong with a modern frontend framework (we use React + TypeScript) and a typed backend (we use Python / FastAPI - adjacent experience is fine).
You've shipped real products to real users and you care how they feel, not just whether they work.
Comfortable with relational databases, REST APIs, and cloud deployment (we run on Railway, with Postgres, Polar, and object storage).
Fluent in Hebrew and English.
Bonus points
Early-stage startup experience, or you've shipped your own product.
Polar / payments, object storage (S3 / R2 / MinIO), or marketplace products.
You build with AI tools fluently - we do, heavily.
Interest in security and app sandboxing.
This position is open to all candidates.
 
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04/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.
Requirements:
At least 3 years of strong production experience with Python
Backend service development (FastAPI / MongoDB / Redis)
Cross-platform software development (macOS / Windows / Linux / WSL)
Solid grasp of OS, networking and low-level concepts
Interest in the AI ecosystem - LLMs, AI agents, MCP, and the dev-tools built on top (Copilot, Cursor, Claude Code)
Advantage
Rust experience (a growing part of our stack - desktop agent, MCP proxy)
Frontend (React / TypeScript / Mantine)
Security, endpoint or networking background
Docker & Kubernetes
Nice to have
Reverse-engineering / digging into other apps' internals
Policy engines or data-inspection systems
Browser extensions or IDE plugins.
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.
Youll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You wont just implement finished specifications, youll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.
Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. Youll build across the entire data and application stack-from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.
This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.
Responsibilities
Own complete product modules from concept to production.
Build and own production data pipelines.
Design scalable data models and APIs.
Build fast, polished, data-intensive interfaces.
Drive performance across the entire stack.
Ensure data quality and reliability.
Create reusable product foundations.
Own production reliability and safe delivery.
Lead through hands-on execution.
Requirements:
5+ years of experience building and shipping data-intensive production web applications, with substantial hands-on responsibility across frontend and backend development.
A proven track record as a primary technical driver at a fast-growing startup.
Strong React, TypeScript, and frontend engineering skills.
Strong backend engineering skills, including API design, service architecture, caching, asynchronous processing, and integrating external systems.
Hands-on data engineering experience, including building, deploying, and maintaining production ETL/ELT pipelines.
Strong SQL and data modeling skills, with experience preparing and serving large datasets for analytical workloads.
Demonstrated ability to diagnose and improve performance across the stack.
Experience deploying and operating applications and data pipelines in a cloud environment, including CI/CD, automated testing, containerization, logging, monitoring, and production debugging.
Strong product judgment, clear communication, and proactive ownership.
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Fontend Engineer to join our R&D team and spread the power of our company. we are widely recognized for bringing a consumer-grade user experience to the complex world of enterprise security.
You will be responsible for developing the company Portal, the unified platform used by security, DevOps, and engineering teams worldwide.
Your mission will be to turn massive-scale cloud data into intuitive, high-performance visualizations and actionable insights.
Responsibilities
Build with a modern stack: TypeScript, React, GraphQL, Apollo, Tailwind, and more.
Focus on deep frontend expertise: We don't believe in generic "full-stack." You will be the frontend authority, collaborating with backend developers who own the microservices while you own the UI and the API schema definition.
Own the full lifecycle: Drive features from design and architecture through to development, testing, and production monitoring.
Solve complex UI challenges: Build interactive data visualizations and high-performance dashboards that handle large-scale datasets.
Drive technical excellence: Lead code reviews, mentor peers, and make architectural decisions that improve our scalability and developer velocity.
Requirements:
5+ years of experience in frontend engineering using React with TypeScript.
Proven hands-on experience with end-to-end development of complex frontend software components from design to production.
Full professional fluency (written and verbal) in both Hebrew and English.
Preferred Qualifications
Extensive experience analyzing and improving frontend performance, scalability, and stability across large-scale applications.
Experience designing GraphQL schemas/other APIs, and defining data contracts with backend teams.
Familiarity or experience with TypeScript, React, GraphQL, Apollo, and Tailwind.
Deep knowledge of continuous integration, testing strategies, and deployment pipelines.
A proactive, "can-do" attitude and an open mindset for cross-functional collaboration.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use.
our company was built to change that.
We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead.
we are helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward.
At our company, engineering isn't a service function it's where product happens. We're looking for a Fullstack (Product) Engineer who lives at the intersection of craft and product sense:You care as much about why we're building something as how it feels in the user's hands. You're an engineer who connects naturally with other engineers, and who enjoys mentoring and ramping up the people around you.
You'll own experiences end-to-end from the first PRD conversation to the KPI dashboard weeks after ship. You'll shape our component library, raise the bar on our frontend infra, and help define what "good" looks like across the R&D org. This isn't a role where you get handed pixel-perfect mocks and a closed ticket. You'll have opinions, and we'll want to hear them.
What you'll do
Craft the experience. Design and build polished, performant UI in Vue 3 (Composition API) from the tiny interaction details to the data layer behind them.
Own the full journey of a feature. Partner with Product on the PRD, define the KPIs that actually matter, ship it, then track whether it moved the needle and iterate honestly if it didn't.
Shape the component library. Evolve our patterns, primitives, and the infra that lets the whole team build faster without sacrificing quality or consistency.
Go full-stack when it counts. Write Node (NestJS) services and work across our data stack (Postgres, Snowflake, ClickHouse) to deliver features truly end-to-end.
Push AI-assisted development forward. Build the guardrails, skills, and workflows that let engineers contribute code quickly and safely you'll help make AI a force multiplier for the whole team, not a liability.
Raise the bar org-wide. Your taste in UX, and code quality should ripple well beyond your own team.
Requirements:
5+ years of full stack development ( frontend, backend, db)
Deep frontend expertise and a genuine passion for the user journey and UX you sweat the details most people skip.
Solid backend knowledge (NestJS) and comfort moving across a modern data stack.
A track record shaping SaaS product experiences: design systems, component libraries, frontend architecture, and the best practices and infra that hold them together.
Real product instinct is comfortable inside a PRD, opinionated about KPIs, and honest about whether a feature actually succeeded.
Someone who wants to shape the wider R&D org, not just close tickets you see the system, not just the screen.
Bonus points
Experience building or scaling design systems at a fast-growing SaaS company.
An eye for performance, accessibility, and the craft that separates "it works" from "it's delightful."
This position is open to all candidates.
 
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