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Required Software Engineer
Powerstore Data Path Engineering team constantly push the boundaries of what is possible in the world of Big Data storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high-performance protocol stacks, and next-generation virtualization technology.
Join us as a Software Engineer on our Data Path Engineering team in Herzliya, Israel to do the best work of your career and make a profound social impact.
What youll achieve:
You will be part of Engineering development team, where software engineers constantly push the boundaries of what is possible in the world of storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high performance protocol stacks, and next-generation virtualization technology.
You will:
Participate in the preparation, review and evaluation of software/storage requirements and specifications
Develop of core Software - using mainly C/C++, Python
Prepare written specifications for tasks of varied complexity from verbal requirements
Use defined software lifecycle methodologies
Review and implement test strategies for software products
Take the first step towards your dream career
Every team member brings something unique to the table.
Job ID:R287349.

we are scaling digital B2B capital and fintech products innovating in the intersection of fintech and payments globally and we are looking for a Product Manager. In this role, Youll take ownership of the product plumbing, from crisp specs and QA to analytics and partner coordination, so our VP of product can focus on roadmap, strategy, and high-leverage strategic work. This roe is a great opening position for individuals who are seeking to build a career in product management in the Fintech space..
Your key responsibilities will include:
Turn concepts into shippable tickets: Draft PRDs, user stories, and acceptance criteria, maintain a clean backlog, run grooming and sprint rituals with R&D.
Instrument & analyze: Define event tracking, build lightweight dashboards (e.g., funnel, approval, activation, repayment), monitor experiments, and surface insights.
Vendor & integration support: Coordinate with underwriting/KYC, payments/acquiring, and data vendors, track timelines, test webhooks/APIs, and resolve issues.
UAT & QA owner: Create test plans for new flows (applications, KYC, pricing, contracts/e-signature, settlements, dunning/collections, pause/skip-payment rules).
Compliance-ready ops: Keep product docs current (T&Cs, disclosures, rate tables), collect evidence for audits (SOC/ISO/PCI where relevant), and log incidents.
Customer & GTM enablement: Draft release notes, internal guides, and simple ROI calculators; support Sales/CS on edge cases; triage feedback into clear tickets.
Day-to-day product ops: Unblock engineering, chase decisions, remove ambiguity, and keep everyone aligned on the next shippable slice.

Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) 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.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.

we are a cutting-edge technology company specializing in visual intelligence solutions for aerial and satellite imagery. We are seeking an experienced Full-Stack Team Lead to manage a dynamic team of 4 engineers (2 backend, 1 frontend, 1 Devops) in developing cutting-edge products. The ideal candidate will have full-stack development expertise, strong leadership skills, and experience with scalable, high-performance systems.
Responsibilities:
Team Management: Lead and mentor a team of engineers (backend and frontend), focusing on their personal and professional development.
Feature Development: Architect and develop end-to-end features, handling both backend (Redis, Kubernetes, PostgreSQL, Python, FastAPI) and frontend (React, Redux, Cesium, monorepo with npm 7, TypeScript) technologies.
Code Reviews & Quality: Conduct thorough PR reviews and ensure code quality and adherence to best practices.
Version Management: Oversee version management and the release of new product iterations.
Customer Support & Hotfixes: Interact with customers, troubleshoot issues, and implement hotfixes as needed.
Product Development: Collaborate closely with the product team on defining new features, UI/UX improvements, and assigning tasks across frontend and backend teams.
Bug Triage: Regularly conduct bug triage with the QA team and ensure timely resolution of issues.
Cross-Team Collaboration: Work with the Computer Vision team on integration pipelines and support Proof of Concepts (POCs) for quick solutions.
Scalable Solutions: Lead development of two key products-one involving augmented reality on real-time video and another managing georegistration for satellite imagery.
Stakeholder Communication: Report directly to the VP of R&D and contribute to strategic product discussions.

We are looking for a skilled Unified Communications / VOIP Engineer to lead and maintain advanced communication solutions within the organization. The role includes hands-on work with AudioCodes products, integration with Microsoft Teams, and management of complex VOIP infrastructures Key Responsibilities
* Lead and maintain Unified Communications (UC) solutions across the organization
* Work extensively with AudioCodes (Mediant SBC/GW) platforms
* Integrate telephony systems with Microsoft Teams (Direct Routing)
* Manage and troubleshoot advanced VOIP infrastructures
* Collaborate with SIP providers and ensure reliable communication service

At our company, you'll contribute to developing system solutions that address complex, multi-disciplinary challenges across domains ensuring alignment with our products UX goals and vision for scalable growth.
What Were Looking For?
We are seeking a passionate and experienced Full Stack Team Leader to lead and grow our Digital Twin Platform team. This is a hands-on leadership role combining technical expertise, strategic thinking, and team mentorship to drive the development of end to end solutions for our digital twin web platform.
Responsibilities
As the Full Stack Team Leader, you will be responsible for:
Lead and grow a high-performing team of full-stack software engineers while maintaining an active hands-on technical contribution to the codebase.
Collaborate closely with cross-functional teams, including software engineers, algorithms developers, product managers, and QA, to deliver end-to-end solutions.
Drive end-to-end execution: from receiving product requirements to delivery, through implementation, deployment and monitoring.
Take part in planning the product roadmap and sprints to translate the product vision into actionable engineering plans.
Guide and mentor team members to ensure they deliver exceptional results by setting a high bar for code quality and promoting software development best practices.
Continuously drive the improvement of developer experience and the efficient adoption of AI development tools.

we are an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.