The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients.
Youll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand.
Location & Travel
Hybrid Schedule:
Two days a week working from home.
Ramat Gan office, located just outside Tel Aviv and close to the train station.
Includes biweekly travel to our Caesarea office.
Responsibilities
Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base.
Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products.
Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads.
Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment.
Architecting multi-tenant, highly available systems across regions in a cloud environment
Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform.
Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service.
Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack.
Participating in code reviews, debugging, and optimizing performance across distributed systems
Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact.
Our infrastructure is powered by Google Cloud.
Other duties may be assigned.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Full Stack Engineer to build our enterprise web application and control plane alongside our senior engineers. You will build the services, APIs, and interfaces that let engineering leaders monitor, understand, and control autonomous data workloads in real time. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development
What You’ll Do
* Ship features end to end across the control plane: services, APIs, and the interfaces built on top of them
* Build scalable, low-latency APIs over live telemetry from production data and AI workloads
* Build high-performance, real-time visual interfaces and explainability tools for monitoring an autonomous data platform
* Partner closely with backend, AI, and distributed systems engineers to ship complex, mission-critical platform features
* Own quality for what you ship: testing, CI/CD, observability, and the operational bar for a product enterprise customers depend on
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform — a product already running inside Fortune 500 environments Real ownership from day one : you own what you ship end to end, and you grow into owning whole domains of the control plane Engineering problems that are genuinely hard : real-time telemetry at enterprise scale, low-latency APIs, and interfaces that make autonomous decisions readable A talent-dense team : direct access to the founders and to the engineers who designed the platform, and a bar that pulls you up Top-of-market compensation and meaningful equity Ready to build the control plane for an autonomous data platform? Hit Apply.

As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities
Design, develop, and maintain high-scale backend services and APIs.
Build features that identify and prevent cloud misconfigurations and security risks.
Write clean, maintainable, and testable code with high engineering standards.
Participate in system design and architecture discussions (scalability, reliability, performance).
Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.
Optimize performance and improve system reliability, monitoring, and observability.
Take ownership over services in production, including troubleshooting and incident resolution.
Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.
Support and mentor other engineers, helping grow the teams technical excellence.

At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
About the Team
We are looking for a passionate Full Stack Engineer to join our team, building modern, scalable, and intuitive web applications.
Our team owns user-facing capabilities end-to-end, from rich React experiences and frontend architecture to API integrations and supporting backend services. We work closely with product, UX, platform, and engineering teams to turn complex requirements into simple, reliable, and high-quality solutions.
AI is an integral part of how we work. We are looking for engineers who know how to use modern AI tools effectively and responsibly throughout the development lifecycle, including problem-solving, coding, debugging, testing, and code review.
This is an opportunity to take ownership of meaningful features, influence technical decisions, and help shape both our product and the way our team builds software.
Your Impact & Responsibilities
Design, develop, and maintain scalable web applications using React and TypeScript.
Build and integrate APIs and backend services that support complex user-facing workflows.
Own features end-to-end, from requirements and technical planning through implementation, testing, deployment, and production monitoring.
Create reusable frontend components and contribute to a consistent and maintainable application architecture.
Work with API contracts, asynchronous data flows, error handling, authentication, and application state.
Improve application performance, usability, reliability, security, and developer experience.
Use AI-assisted development tools and workflows to accelerate delivery while maintaining high standards of correctness, security, and code quality.
Review and validate AI-generated outputs rather than relying on them blindly.
Collaborate closely with product managers, UX designers, backend developers, and other engineering teams.
Contribute to technical discussions, architecture decisions, code reviews, and engineering best practices.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

As a Senior Software Engineer, youll play a key role in building and scaling the data infrastructure that powers our platform. Youll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers.

Youll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, youll contribute to architectural decisions and help shape the next generation of our data platform.

This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale.

Responsibilities:

Own, enhance, and improve our core platform.

Build and maintain systems for collecting and processing metrics from client environments.

Focus on system efficiency and resilient infrastructure.

Integrate well-known SaaS platforms into our big data repository (e.g., major cloud providers, Datadog, Snowflake).

Optimize Spark and Airflow processes.

Contribute to data design and platform architecture while working closely with other business units and engineering teams.

Face the challenges of testing and monitoring large-scale data pipelines.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

We are looking for a Senior Full-Stack Engineer to join our engineering organization and play a key role in building and evolving complex products and platforms at scale.
In this role, you will work across frontend, backend, and data layers, taking end-to-end ownership of meaningful features and systems.
From design and implementation through deployment and production support. You will collaborate closely with product, design, and engineering partners to deliver high-quality solutions that support business goals, internal efficiency, and scalable growth.
Responsibilities:
End-to-End Full-Stack Development
Design, develop, and maintain complex features and systems across frontend, backend services, and databases
Own features throughout their full lifecycle: design, implementation, testing, deployment, and ongoing production support
Hands-On Engineering
Write high-quality, production-grade code with a strong focus on reliability, performance, scalability, and maintainability
Contribute across the stack while making thoughtful trade-offs between speed, quality, and long-term sustainability
Product & Stakeholder Collaboration
Work closely with internal stakeholders to understand requirements and translate them into effective technical solutions
Actively participate in planning, estimation, and iterative delivery
Architecture & Technical Design
Contribute to system design and architectural decisions with a long-term, platform-oriented mindset
Help evolve existing systems and design new components that support growth, reuse, and operational excellence
Engineering Excellence
Promote and uphold best practices in software engineering, including clean code, testing strategies, CI/CD pipelines, and observability
Participate in code reviews and technical discussions to maintain high standards across the codebase
Technical Leadership & Knowledge Sharing
Serve as a technical role model through collaboration, mentorship, and constructive feedback.
Share knowledge and help raise the overall engineering bar across teams.

As a Senior Software Engineer in the Platform Team, you will help deliver a smooth and consistent developer experience to our product/AI teams. This enables them to iterate quickly and deliver products faster to the market. The team aims to streamline development processes, reduce friction and provide developers with the right tools and infrastructure to build high-quality software efficiently which effectively aligns technical execution with our business objectives. Our techstack includes AWS, Python, RDS, EKS, ECS, RMQ and Redis.

You will:

You will have a direct impact on devs' daily smile :) , by focusing on their Devex and velocity through implementing and providing easy and intuitive self serve tools

Lead the design and implementation of infrastructure of complex, time-critical microservices systems, collaborating with AI, data, and product teams to ensure high-quality code using latest technologies while maintaining high developer velocity.

Drive improvements to backend infrastructure, focusing on scalability, reliability, and performance to enhance the daily experience and productivity of developers, including implementing intuitive self-serve tools.

Contribute to defining and realizing the technology vision of the company, evaluating and integrating new technologies to enhance platform capabilities including Gen AI, and troubleshooting complex issues to ensure platform performance and availability. Proactively establish and maintain CI/CD practices and processes including hybrid envs.

Enhance system scalability, performance, and reliability.