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We are seeking a talented QA Engineer to help ensure top product quality in our rapidly growing company. You will be focused on testing our core product, conducting end-to-end testing across various technologies, along with our proprietary AR and AI solutions.

Responsibilities:

Develop comprehensive test plans and test cases focused on both backend and frontend features to ensure product quality across the stack.

Take primary responsibility for querying data, testing backend and frontend data changes, and ensuring data integrity, performance, and UI functionality.

Lead efforts to identify, document, and troubleshoot errors in both backend and frontend areas, providing detailed analysis and potential solutions.

Collaborate closely with Development, Product, and other teams to clarify specifications, address issues/concerns, and identify risks throughout the software development life cycle, ensuring alignment across backend and frontend requirements and dependencies.

Actively contribute to a scrum team, working with developers, DevOps, and Product teams to ensure comprehensive testing coverage.

Lead the QA effort in sprint planning and retrospectives, providing insights into backend and frontend testing considerations.

Develop, apply, and maintain manual and automation scripts for both backend and frontend testing of new and existing products, with a focus on enhancing full-stack test automation.

Continuously update and refine testing methodologies, tools, and processes to improve testing effectiveness across backend and frontend technologies and practices.

Familiarity and practical experience using AI tools for testing.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.

Description
For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practicalno overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
As we scale, we are looking for a Head of QA Automation to lead the transformation of our testing infrastructure, moving from manual QA processes to a robust, modern, and scalable automation-first approach.
On your day to day:
As Head of QA Automation at our company, you will lead the shift from manual to automated testing across all platforms, backend, frontend, mobile, and audio/video. You'll define quality standards, implement automation tools suited to our stack (React, Node.js, WebRTC), and integrate testing into our CI/CD pipelines. Working closely with engineering, product, and DevOps, youll mentor QA team members and drive a culture of speed, coverage, and quality.

We are looking for an expert Data Engineer to build and evolve the data backbone for our R&D telemetry and performance analytics ecosystem. Responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. Youll be part of a fast paced R&D organization, where system behavior, schemas, and requirements evolve constantly. Your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.
What youll be doing:
Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form
Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools
Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks.

we are at the forefront of building state-of-the-art space-resilient computing infrastructure that empowers the next generation of satellites and space missions. Our on-board processors (OBP) revolutionize traditional satellites into smart, software-defined units so applications can be developed and updated in real-time, creating infinite possibilities for space satellite payloads and deep space missions.
The Software Automation Development Engineer is responsible for working with cross-functional engineering teams to design and develop the software infrastructure for automated testing systems. We are seeking a skilled automation developer to join our team and contribute to the development of test automation platforms using Python, Django, and React frameworks. In this role, you will be responsible for creating applications from the ground up, configuring existing systems, creating backend automation services, integrating test equipment, building automated test flows to support advanced ATE station deployments, and providing user support.
What will you do:
Design, develop, and maintain automated test platforms using Django, Python and Pytest.
Build backend and frontend infrastructure for ATE & validation automation and data collection.
Develop automated scripts for hardware testing, validation, and production.
Collaborate with test, hardware, and software teams to define system-level automation architecture.
Integrate and control various test instruments and devices using protocols such as SCPI, VISA, or custom APIs.
Collaborating with internal teams to design software architecture.
Document test tools and automation processes for internal users.
Investigate, debug, and resolve software and system integration issues.
Keeping updated with the latest industry developments.

we are looking for a Senior Software Engineer to join our AI Engineering team. Youll be part of a highly proficient engineering group that serves as the focal point for all AI engineering efforts, constantly driving innovation and leveraging AI capabilities across teams and products.
AI is central to how operates, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that engineering is about building the most effective and elegant solution within a given set of constraints, consider applying for this position.
What you'll be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions
Develop and maintain our internal MCP server that easily and securely exposes Forters vast data stores to AI agents
Create and implement robust evaluation frameworks and AI guardrails to safeguard Forters value and ensure model reliability
Establish deep expertise and sustainable AI engineering practices
Promote AI readiness and track adoption across the company to build lasting impact
Build and optimize RAG (Retrieval-Augmented Generation) systems
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build
Partner with teams across Forter to accelerate AI adoption and productization efforts

We are currently looking for a Infrastructure DBA to join our team and play a pivotal role in shaping the future of our company.
As an Infrastructure DBA you will be responsible for the SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems.
If you are a highly motivated, enthusiastic, and experienced DBA- We offer a great working environment in a successful company and development opportunities going forward.
The Infrastructure DBA will report directly to the DBA Architecture Team Leader.
Key Responsibilities:
Manage SQL Server databases through multiple product lifecycle environments. (24/7).
Manage duties such as troubleshooting, and tuning input/output to enhance database performance.
Monitor and optimize the performance of the databases.
Write new and correct existing database monitoring processes.
Support of production SQL Server instances.
Configuration and performance optimization of stored procedures.
Preparation of SQL Server instances for migration to newer SQL Server versions.
Strong knowledge on Hight Availability Technology of MSSQL

Required Senior Fullstack Developer
Description
We are a global sports tech hub, serving tens of millions of users with real-time results, stats, news, and content across all major sports. We combine deep tech, live data, and massive scale to deliver one of the most engaging sports experiences in the world.
Ready to dive into a dynamic role where you'll be an integral part of a collaborative team? As a Senior Fullstack Developer, you'll be at the forefront of crafting innovative solutions and contributing to the continuous improvement of our platform.
Responsibilities
Engage closely with Product, Client, DevOps and other R&D teams to deliver exceptional solutions.
Work within an agile environment alongside a team of engineers to meet business objectives efficiently.
Play a key role in designing, architecting, and developing robust solutions while ensuring code quality and seamless deployment.
Develop and maintain APIs and Services to support millions of active users, ensuring optimal performance and scalability.
Identify technical debt and areas that require attention or improvement at the architecture level.
Grow technical knowledge by researching the latest development methods and techniques, sharing that information with your team.

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

We are seeking a Senior Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the worlds largest financial institutions in the fight against financial crime.
Youll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, youll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.
How will you make an impact?
Design, develop, and maintain automated tests for backend systems and data pipelines.
Implement and manage a scalable testing framework to support continuous integration and delivery.
Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
Collaborate with developers and product managers to understand system architecture and business requirements.
Participate in requirements analysis, technical reviews, and test planning.
Identify, document, and track defects, drive resolution with development teams.
Monitor production environments, investigate anomalies, and push for timely fixes.
Ensure data health and correctness across systems.
Continuously improve QA processes, tools, and best practices.
Advocate for quality across the development lifecycle.

You will work firsthand with our valued customers to address their complex post-sales concerns where analysis of situations or data requires an in-depth evaluation of many factors. Youre a critical thinker in understanding the methods, techniques, and evaluation criteria for obtaining results. Youll enjoy networking with key contacts outside your own area of expertise, with a strong capability of detailing difficult technical issues to both non-technical and technical professionals.
You will provide post sales technical support to our company End User Customers via phone, e-mail and web. You will utilize your fault isolation and root cause analysis skills to diagnose and solve complex technical issues and provide timely solutions to customers in a professional manner. Youll regularly update support cases to record progress of calls in the call tracking system and document technical solutions and product information in the knowledge base.
Your Impact
Provide Technical Support to customers and partners
Provide configurations, troubleshooting and best practices to customers
Manage support cases to ensure issues are recorded, tracked, resolved, and follow-ups are completed in a timely manner
Provide fault isolation and root cause analysis for technical issues
Publish Technical Support Bulletins and other technical documentation in the Knowledge Base
Review of technical documentation for training materials, technical marketing collateral, manuals, troubleshooting guides, etc.
Travel to customer sites in the event of a critical situation to expedite resolution as required
Provide on-call support on an as-needed basis.

we are looking for an experienced and proactive Senior IT Systems Engineer to join our growing IT team. This role will be pivotal in managing our modern, cloud-first infrastructure with a focus on Azure, AWS, Office 365, Intune, and enterprise security platforms. The ideal candidate is a senior-level engineer who thrives on automation, scalability, and supporting a dynamic, hybrid workforce.
Key Responsibilities:
Design, manage, and secure systems across Azure, AWS, Office 365, and Docker-based environments.
Oversee device management policies and compliance via Microsoft Intune across Windows, macOS, and mobile platforms.
Lead onboarding and offboarding workflows, integrating automation and security best practices.
Develop self-service solutions and automated workflows for IT operations using tools like PowerShell, Python, Azure CLI, AWS CLI, and code/no-code platforms (e.g., Workato, Torq).
Administer Entra ID (Azure AD), including conditional access, MFA, and role-based access control (RBAC).
Enforce endpoint and cloud security using CrowdStrike, firewalls, and Cato Networks, and conduct routine audits.
Troubleshoot and manage complex network environments, VPNs, and cloud-based firewalls.
Provide advanced technical support and guidance to internal IT and service desk teams.
Maintain comprehensive documentation and mentor junior staff.

The company Engineering team is looking for a Senior Software Engineer to join us in Ra'anana, Israel. In this role, you will contribute to the engineering of features related to the deployment and life cycle management of Kubernetes and our company OpenShift. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, our company OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our company's Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

Were looking for a sharp and experienced Senior QA Engineer to ensure the reliability, accuracy, and performance of our most critical system - COS.
In this role, youll be embedded in a fast-paced product team, designing and executing manual and automated test plans that cover everything from backend APIs to customer-facing applications. Youll take ownership of quality from day one - helping build a scalable testing culture, mentoring junior engineers, and working closely with developers and product managers to catch issues before they hit production. If you're passionate about high standards and building quality into every stage of the SDLC, this ones for you.
What Youll Actually Be Doing:
Own QA strategy and execution for your squad - both manual and automated testing
Design comprehensive test plans and maintain detailed, reproducible test cases
Develop and expand automated test suites for APIs, web apps, and backend systems
Work closely with Developers, Product, and DevOps to shift-left and integrate testing early
Track, triage, and follow through on bugs with clarity and urgency
Help build a culture of quality through documentation, metrics, and knowledge sharing.

We are seeking a highly skilled and experienced full-stack developer to join our team. As a Sr. FullStack developer you will be responsible for architecting, developing and enhancing all components of our SAAS solution.

**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**

What will you do?
Designing and developing our AppSec SAAS Platform from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Developing efficient and reliable FE and backend systems using React, Go, Java and other related technologies.
Owning and Leading proof-of-concept initiatives focused on artificial intelligence empowering, demonstrating the feasibility and value of AI solutions for business challenges.
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Conducting thorough testing and debugging to identify and resolve issues.
Collaborating with other developers and participating in code reviews to maintain code quality and best practices.
Staying up to date with emerging technologies and trends in software development especially focusing on GenAI.