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Required Senior Automation Engineer
About The Position:
We are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
We are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!
About the role:
Our Automation Engineers are part of a team of highly skilled Python programmers that are responsible for creating test coverage for all system functionalities and configurations. This is a challenging but crucial engineering task since the testing of a feature in storage can be more complex than its actual implementation. Together with the team, you will be responsible for the products reliability and stability, which is a core requirement of any enterprise storage product and is vital to its success.
As a QA Automation Engineer, youll:
Create detailed, well-structured test plans and test cases;
Implement automated distributed tests in Python;
Gain an in-depth understanding of a complex, clustered system and be able to accurately analyze failures in those systems;
Collaborate with the R&D team in order to identify and analyze problems, as well as verify and test solutions; and
Become a storage expert who understands the terminology, protocols, configurations, architecture, and practicalities in the frontier of storage technology.

As a Marketing AI & Automation Architect, you will help design and build the systems, workflows, and tools that enable this transformation. You will partner closely with teams across Marketing and Revenue Operations to identify opportunities where AI can unlock scale, accelerate campaign execution, improve insights, and streamline how work gets done. From early campaign ideation to operational execution, you will translate marketing needs into practical AI-powered solutions.

This is a hands-on creator role, which sits at the intersection of marketing strategy, technology, and AI engineering. You will design and build AI-powered workflows, agents, and integrations that connect our marketing tools, data, and processes into a smarter, more scalable system. Your work will help marketers focus more on strategy, creativity, and growth, while AI supports research, execution, and operational scale.

What You'll Own:
Partner with Marketing teams to identify opportunities where AI can accelerate work, improve insights, and scale campaign execution.
Design and build AI-powered marketing workflows including AI automations, agents, and workflows that support key marketing activities such as research, content development, campaign planning, outreach preparation, and performance analysis.
Integrate AI into our Marketing technology ecosystem, connecting AI solutions to core systems including Salesforce, Monday, marketing automation platforms, and data tools using APIs, webhooks, and automation platforms.
Develop scalable, repeatable AI systems and workflows that enable teams to execute campaigns, generate insights, and produce content more efficiently.
Implement monitoring, guardrails, and data quality processes to ensure AI systems are reliable, responsible, and scalable.
Help teams incorporate AI tools and workflows into their daily work and act as a trusted advisor on how to use AI effectively.

We are seeking a motivated Senior Automation Engineer to join our Prisma Browser QA group. In this role, you will design, develop, and execute automated End-to-End (E2E) system tests for a cutting-edge enterprise browser. You will be instrumental in enhancing our product quality by maintaining complex automation suites and adopting modern methodologies, including AI-driven testing, to accelerate our development, test, and release cycles.
Key Responsibilities
Design and develop automated tests for new features, covering both UI and backend flows with end-to-end ownership.
Leverage AI capabilities and Large Language Models (LLMs) to optimize test generation, analyze failure patterns, and enhance QA process efficiency.
Build and maintain tools and frameworks that improve the developer experience and enable faster feedback loops within the CI/CD integration.
Maintain and evolve a complex automation infrastructure to support comprehensive cross-browser and cross-OS testing.
Debug existing tests to improve stability, enhance runtime efficiency, and perform deep analysis of nightly test runs to ensure product quality.
Proactively collaborate with development and other QA team members to ensure alignment on test strategies and quality standards.

Your Career We are looking for a top-notch Senior software automation engineer to drive our test efforts across the company. As our engineer you will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. The job is deeply hands-on and requires a deep understanding of the product, the environments it runs. Your Impact Work closely with our engineering teams to understand business requirements Create detailed and well-structured test plans based on requirements and features crew meetings Design and writing the infrastructure and progression tests for new features Use your knowledge to perform thorough regression testing Identifying, reporting, documenting and tracking defect/bug issues Investigate, analyze and find the root causes for failed systems and software Ability to effectively communicate with all levels of the organization Excellent verbal and written communication skills Strong focus on customer satisfaction.

We are seeking a highly motivated QA Team Lead to join our team.
About us
We are one of the fastest-growing sports betting and iGaming affiliate companies in the industry, specializing in experience-driven technology. Were looking for employees who are ambitious, willingly take ownership, and execute effectively - all to power the company forward
What will you do?
Own quality end-to-end across all our products: web and mobile applications, backend services, cross-platform integrations within partner sites, tracking/attribution systems, and large-scale data flows.
Define and execute the QA strategy: regression coverage, release gates, risk management and production validation.
Design, build and evolve the automation infrastructure, expanding coverage across frontend, backend and system-level flows.
Work closely with Engineering and DevOps on CI/CD, deployments, environments and release stability.
Translate product requirements into structured, testable tasks and proactively identify gaps, edge cases and risks.
Lead and mentor the QA team while remaining highly hands-on (70%).
Make both technical and managerial decisions regarding quality standards, tooling and release readiness.

You will work closely with developers, product managers, and other QA engineers to ensure our software is robust, reliable, and user-friendly. If you are passionate about QA, love exploring new tools, and enjoy combining manual and automated testing, we would love to hear from you!

Key Responsibilities

Execute manual testing, including end-to-end scenarios and UI tests.
Develop and maintain automation scripts to streamline testing processes
Work with APIs, databases (SQL), and the product UI to validate features.
Collaborate with developers to identify, report, and track bugs.
Contribute to test documentation, test plans, and reporting.
Participate in improving QA processes and automation frameworks.

A software development company, specializing in sophisticated e-commerce solutions, we are looking for a motivated, talented and skillful Junior QA to join our growing team.The position includes manual testing for web and mobile platforms.Among our customers are huge brands such as McDonald's, Grow (Meshulam), Domino's Pizza, Carrefour, Leaan, Aroma Israel,Machsanei Hashmal, Shlomo Group, NewDeli and more. This is a great opportunity to show your talent, work with amazing people, advanced technologies and big customers.

We are seeking a highly motivated and experienced Senior QA Engineer to take our quality to the next level.
As a Senior QA Engineer you will...
Work closely with multiple R&D teams across Security.
Enable development teams to own testing and automation as an integral part of delivery.
Design scalable quality strategies, testing frameworks, and quality gates to ensure high standards without slowing down development.
Act as a technical authority as you guide teams on testability, observability, and risk-based testing, as well as non-functional quality aspects such as security, performance, and reliability.
Partner with Engineering, Product, and DevOps to continuously improve how quality is designed, measured, and enforced across the product lifecycle.

We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities:
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
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.

We are looking for a Senior Infrastructure Developer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What Youll Be Doing:
Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization.
Among the different tools:
test infrastructure used by the QA
Maintain and develop API and interfaces facing the company storage product + different cloud providers.
full stack bug investigation portal
VM orchestration
Collaborate with other teams to improve the productivity of the entire R&D organization.
Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage,

Required Senior Hardware Test Engineer
Description
The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
Role and Responsibilities:
Test Development & Validation:
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI):
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement:
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration:
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

We are looking for an entry-level QA Engineer to join our R&D team. This role is ideal for Computer Science graduates or technology-unit alumni who are looking for their first professional step in the high-tech industry and want to build a career in software testing and QA automation within a global cybersecurity product company.

The position combines hands-on manual testing with exposure to test automation, backend systems, APIs, and SaaS environments, providing strong technical growth and learning opportunities. You will collaborate closely with developers, product managers, and DevOps to help deliver secure, reliable, and high-quality release

What Youll Do:
Perform manual functional, regression, integration, and end-to-end testing for SaaS-based authorization systems.
Assist in designing, implementing, and maintaining automated end-to-end test scenarios using Java-based frameworks.
Create and maintain test plans, test cases, and structured test documentation.
Validate system behavior and data integrity using SQL queries.
Test REST APIs using Postman or similar API tools.
Work closely with R&D, Product, and DevOps teams to improve product quality and test coverage.

We are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
Key Responsibilities
Daily Analysis of automation CI results, Develop, refactor and design automation tests and pipelines integrating with SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests.
Define, develop and execute automated testing plans with deep system knowledge and understanding.