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Join us at our company, a global fintech leader revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
we are looking for a Senior DevOps Engineer to join our DevOps team.
The perfect candidate will be a team player with a high level of professionalism and knowledge in DevOps technologies, with a leadership background.
TheS enior DevOps Engineer will report directly to the DeOps Team Leader.
Your key responsibilities will include:
Provide architectural solutions for complex infrastructure requirements involving large-scale systems and rapid growth
Define and manage the automated production process
Take ownership of technical issues and work with our development group to resolve advanced issues and bugs.

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies- including AI-powered development tools.



Were a collaborative engineering team that values ownership, trust, high-quality design, and continuous improvement, with AI used as a tool to enhance productivity and decision-making. Engineers work closely with product and design, shaping solutions from discovery to delivery while challenging assumptions and focusing on solving the right problems. This role offers strong technical ownership, architectural influence, mentorship opportunities, and support for ongoing professional growth.

What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

We are looking for an experienced SW Director.

You will report to the Sr. Director of Software Devices.


Location
Hybrid - working at least 3 days a week from our offices in Caesarea.


What you will be doing:

Lead an engineering group composed of 5-8 scrum teams, developing the SW for our networking HW products as well as the SW for the production test system of these HW products.

We are looking for a true leader with great communication skills, which will uphold a high technical bar, and will be responsible to inspire the team members to achieve their optimum performance and career development.

This role requires:
Collaboration with stakeholders across the organization such as Product Management, PMO, HW development team, Production engineering team and more.
High technical competency, ability to initiate and drive all SW development life cycle from planning, analysis, design, implementation, testing and integration and maintenance of deployed systems.
Working in an agile environment, with a goal to build high quality products at a fast pace, driving engineering excellence through constant improvement in processes, tools, and practices.
Leading a technical discussion, together with our product team, with our customers and partners.
Keeping our team members challenged and engaged.

We are looking for Automation QA Engineer to join our team. In this role, you will be the quality owner for the Orion system - ensuring every release meets the strictest performance, reliability, and safety requirements expected from a tactical‑grade navigation solution. You will work closely with algorithm developers, embedded engineers, system integrators, and field teams.
Responsibilities:
Design, develop, and maintain automated test suites for the Orion system.
Build automation flows validating logic, algorithm performance, and sensor integration.
Run tests on simulated environments and physical devices.
Execute manual and automated tests across stress, performance, and environmental conditions.
Analyze logs, debug issues, and verify fixes.
Define and maintain QA procedures, regression plans, and verification matrices.
Contribute to CI/CD infrastructure and automation.
Collaborate with system integrators and field teams.
Collaborate with production team and develop automation testing flows also for product delivery testing (ATP).
Writing test documentation (STP / STD / STR) based on SRS / SRD
Designing and executing functional and system-level test cases
Performing System and Integration testing for software-hardware integrated systems

This position is responsible for supporting daily operations and projects with installation, configuration and maintenance of process control & automation systems including Programmable Logic Controllers (PLCs), Human Machine Interface (HMIs) and SCADA systems.

This position is responsible for interpreting Control Philosophies, Cause & Effects, P&IDs and developing, testing, documenting, and maintaining Rockwell ControlLogix PLC & FactoryTalk HMI based systems and Archestra System Platform object-based programs, templates, processes, and tools to manage and sustain programming code for offshore and high-pressure gas production facilities. Supports project activities including facility design, construction, commissioning, troubleshooting, managing, and maintaining SCADA, DCS, SIS, HMIs, PLCs, PCN Servers & Applications and Communication systems reliability and availability. Maintains SCADA data reporting systems, support Operations production reliability and optimization efforts and support PCN Information Risk Management (IRM) compliance. Train and mentor Operations and Maintenance personnel.

Familiarization with the following software packages preferred:
RSLogix 5000, Studio 5000.
Factory Talk Asset Center.
Factory Talk View ME & Factory Talk View SE.
Archestra System Platform.
Wonderware Intouch.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.

Responsabilities:

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Key Responsibilities

Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Help establish ROI models and best practices for new AI-driven processes across the company.

We are looking for an ambitious, highly capable Full-Stack Software Engineer who leverages cutting-edge AI tools to multiply their productivity and own cloud features completely end-to-end, from initial design and architecture down to deployment, testing, and production support.

Were looking for cutting edge smart & capable engineers who can harness AI and can lead sophisticated projects from the requirement and design phases down to implementation, test and production delivery.

Key Responsibilities

End-to-End Feature Ownership: Own cloud features complete end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support.
AI-Accelerated Development: Efficiently utilize advanced AI coding assistants and AI-driven workflows (e.g., Claude Code, Cursor, LLM-driven test generation) to design, code, debug, and deliver robust software at high velocity.
Frontend & Backend Engineering: Build and maintain scalable APIs and responsive, intuitive user interfaces (React, Go / Node.js).
Database & Infrastructure: Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance.
Quality & Automated Testing: Design, write, and execute comprehensive test suites (unit, integration, and E2E) to keep software stable and functional.
Production Support & Reliability: Participate in monitoring, troubleshooting, and supporting your delivered features in cloud environments.
Product & UX Collaboration: Work closely with Product and UX teams to rapidly turn concepts into seamless, user-friendly customer experiences.

We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated Test Equipment (ATE) environments. In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system-level testing, and radar calibration of advanced radar systems. Key Responsibilities:
* Design and maintain the ATE database and software infrastructure.
* Develop data pipelines, APIs, and integrations for ATE systems.
* Build BI dashboards and reports for production and test data.
* Ensure data integrity, traceability, backup, and availability.
* Support deployment across production sites and secured networks.
* Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.

Required rt SW Developer