דרושים » תוכנה » Full Stack Engineer

Join the company Headless team, where you'll build and own products that give our company users the flexibility to create and grow their online presence in new ways.
Our team owns the product end to end - from the first interaction at the top of the funnel, through activation and conversion to premium, to the ongoing experience of our users. This means you'll work on problems that combine deep engineering challenges with product thinking and have a direct, measurable impact on key business KPIs.
You'll move between designing backend systems, solving architectural challenges, building product capabilities, and improving user experiences.
You'll have the opportunity to understand the entire product journey and influence both how we build and what we build.
We're looking for hands-on engineers who enjoy seeing the bigger picture. People who can take an ambiguous problem, understand the user and business need behind it, collaborate across disciplines, and drive a solution from idea to production and beyond.

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.

Join our companys Harmony SASE - a game-changing hybrid SASE platform.
We are looking for a talented Full Stack Engineer with strong backend and frontend skills to join the forefront of our companys Harmony SASE team, building cutting-edge, large-scale solutions that redefine cloud security and network management.
As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient full-stack systems. Youll also have the opportunity to leverage AI-powered development tools and workflows to accelerate development, improve code quality, and solve complex engineering problems.
If youre passionate about innovation, cloud security, AI-assisted engineering, and high-performance architecture, this is your opportunity to make an impact.
we are a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, combining cloud and on-device protection, redefines how businesses securely connect in the era of cloud and remote work.
Key Responsibilities
Own end-to-end feature development, including research, design, implementation, testing, deployment, and monitoring.
Contribute to technological and architectural decisions.
Develop testable, reusable, and efficient code to create high-performance applications.
Analyze and improve the efficiency, scalability, and stability of various components across our system.
Leverage AI-assisted development tools as part of the engineering workflow for coding, debugging, testing, research, and problem-solving.
Explore and adopt new AI capabilities and development practices that can improve engineering velocity and software quality.
Collaborate with Designers, Product Managers, Architects, and Software Engineers to deliver the best possible product to our customers.

Required Experienced Full Stack Engineer
As a Fullstack Engineer on the Demand R&D team in our Tel Aviv office, youll play a vital role in building our flagship recommendation products, from the backend services that decide which recommendations to serve to the ad formats and widgets that render them on publisher pages for billions of users.
Youll build features end-to-end across the stack, develop innovative ad formats and high-scale backend services, and use big data and performance metrics to make engineering decisions that impact users, publishers, advertisers, and business performance.
How youll make an impact:
Build features end-to-end: design and develop backend services alongside the client-side code that consumes them, and own them through testing, deployment, monitoring and maintenance
Work on our recommendations ad formats serving and user experience - the backbone of the companys products, standing at the intersection of end-users, publishers and advertisers
Develop and maintain a variety of new & innovative ad formats that reach billions of users and are used by thousands of advertisers (carousel, app install, video ads and many more)
Develop high-scale backend services that serve billions of requests a day, with real emphasis on performance, resilience and observability
Make professional decisions based on big data and performance metrics of billions of users, while putting emphasis on business & page performance KPIs
Build AI agents, skills and workflows that multiply the teams capabilities - automated code reviews, data analysis, production anomaly investigation, feature validation and debugging
Collaborate with the Product, Data and UX teams throughout the company to iterate on the design and implementation of our product
Our tech stack
AI: Claude Code, Codex, Cursor
Backend: Java, Spring, Kafka, MySQL, Cassandra, BigQuery, Kubernetes, Docker, Grafana
Frontend: JavaScript, TypeScript, React, HTML, CSS, Jest, Playwright.

we are looking for a Full-Stack Developer to play a key role in building and optimizing our in-house Video Management System (VMS) and the cutting-edge video player it powers, serving both B2B and B2C products. As part of a dedicated and passionate team, you'll build scalable backend services and high-performance frontend experiences that drive video delivery, user engagement, and monetization - working across the whole stack, from the APIs and tooling behind the scenes to the playback experience users see.
On our team, the backend is written in Go and the frontend in vanilla JavaScript and React
AI tools (Claude, AI coding assistants, etc.) are an integral part of our development process. We are looking for a strong developer who's made these tools part of their workflow, using them to move faster while owning the thinking and the quality of what ships.
Responsibilities:
Own our next-generation video experience end to end - building and maintaining features across our in-house VMS and video player, from backend delivery to frontend playback, with a focus on smooth performance, low latency, and high engagement.
Design and build the Go services, APIs, and data models that power the VMS and video delivery.
Develop and maintain web applications using vanilla JavaScript and React.
Write clean, maintainable, and testable code.
Participate in code reviews and contribute to improving coding practices within the team.
Collaborate with cross-functional teams, including designers, developers, and product managers, to deliver high-quality web solutions.
Thrive in an agile, fast-paced environment, moving fluidly between projects and priorities as they evolve.

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.

Here at our company, we're looking for an innovative, experienced Software Developer with rich experience in web technologies and a strong foundation in modern AI development, who is comfortable with both frontend and backend programming.
As a developer in the Cyber Security Protection area, you will be responsible for agile product development from concept to deployment. You will maintain the operational workflow of critical platforms while integrating autonomous AI systems that impact multiple product services, leading our companys security offering.
You will practice the most advanced client and server-side techniques, alongside cutting-edge AI frameworks, to design and implement both internal and external solutions.
Key Responsibilities
End-to-end backend and frontend development of essential, fast-growing platforms.
Develop and integrate knowledge-based, agentic AI systems capable of reasoning over security data and executing tools autonomously.
Rapidly deliver high-quality, efficient, and productive solutions for internal and external applications.
See through a project from initial plan to completed product, including multi-agent infrastructure orchestration.
Ensure ongoing operation and responsiveness of high-impact applications.
Investigate, implement, and share new technologies (such as LLMs) and ideas to improve scale and performance
Be part of an organic Scrum team developing in a fast-paced environment based on CI/CD.

Key Responsibilities
We are looking for a passionate Software Developer to join our WAF SaaS Platform team, where we build, evolve, and operate our companys cloud-native WAF SaaS product.
In this role, you will develop new SaaS product capabilities while also building and operating the cloud infrastructure that powers the platform. You will work across backend services, Kubernetes environments, automation, CI/CD, monitoring, and, when needed, frontend components.
We are looking for a strong team player with a high sense of ownership, a get-things-done mindset, and the willingness to contribute across all areas of development - from UI and backend to DevOps and cloud infrastructure.
Major Responsibilities
Develop new features and capabilities for our companys WAF SaaS product, with a focus on backend services, cloud infrastructure, and DevOps-oriented development
Design, build, and maintain cloud-native infrastructure that supports customer environments, production workloads, and global SaaS deployments
Take part in creating and operating new POPs, improving customer environment provisioning, and evolving the platforms scalability and availability
Develop SaaS product capabilities such as certificate management, CDN-related flows, DDoS-related capabilities, onboarding flows, and other customer-facing platform features
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features and infrastructure components, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.