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we are looking for a Cloud FinOps Engineer 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.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

Were hiring a Director of Engineering to lead our agentic capabilities across the platform, including the AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software-through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments.
As a Director of Engineering, you will...
Lead the engineering group delivering AI capabilities across the platform, powering customer-facing agentic experiences at scale
Shape the vision and drive the execution for AI Assistant, MCP Server, and platform-wide agent workflows
Ship enterprise-grade AI-secure, reliable, and observable-running in SaaS and self-hosted environments
Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact.

we are looking for a Hardware System Engineer to join our growing team!
This is a great opportunity to be part of the fastest-growing infrastructure company in history. we are revolutionizing data storage solutions with its Universal Storage platform, designed to simplify AI and enterprise infrastructure.
In this role, you will be responsible for qualifying hardware components such as servers, JBOFs, SSDs, network cards, switches, and optical transceivers. You will write requirement documents for new features, work with vendors on implementation and debugging, and transfer knowledge to internal teams, including software developers, QA, support, and manufacturing. Additionally, you will become the subject matter expert for specific hardware platforms and technologies. Join us and contribute to shaping the future of data management while being part of a fast-growing, innovative company.

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior AI Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

We are hiring an Infrastructure Automation Developer to join our team.
Reporting to: Infrastructure Automation Team Lead
Location: Petah Tikva, Israel
Direct employment
Responsibilities:
Develop, maintain, and improve UI and API automation frameworks in a CI/CD environment.
Design, develop, and maintain internal automation tools, services, and portals.
Support, mentor, and train product automation engineers in writing, debugging, and executing automated tests (Hands on).
Contribute to AI-powered development and automation systems, including AI agents, MCPs, and skills.
Help transform traditional automation and SDLC processes into more agentic, AI-assisted workflows.
Working in Scrum/Agile methodology
Working closely with Developers, QA engineers and DevOps

We are seeking a Software Engineer to join our Platform team and accelerate the development of the innovative Duality Platform. In this role, your technical problem-solving skills will directly influence our products trajectory and scalability. You will join a dedicated, highly skilled engineering team and partner closely with key internal stakeholders - including data scientists, product managers, and solution architects - to deliver robust backend solutions.

we are looking for a QA Automation Engineer 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.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for a talented, tech-savvy Senior DevOps to join our DevOps team and help us in supporting the development and maintenance of our services' high availability while we continue to scale..
The position of Senior DevOps is a central and important position in the team. reports directly to the Head of DevOps with real responsibility and chance to implement your vision.
We are one DevOps Team that does it all.
Responsibilities:
Design and Implement infrastructure for effective, high quality, reliable development and release processes.
Assist in the management and maintenance of our cloud infrastructure and services.
Contribute in designing new solutions and improving existing solutions in all DevOps related process, like:
CI/CD pipelines (GitHub Actions/Argo)
IAC (Terraform) processes
Deployment infrastructure for our containerized (docker) services
Observability
Testing Automation

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.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
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.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. We offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control team develop SW products that create the basic building blocks of the system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges focus on the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. In this position, you will take part in developing advanced control algorithms and software for our state-of-the-art products. What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP, and communication over different platforms.
* Design, develop, optimize, TEST and maintain complex Embedded SW for power electronics and control systems in a multi processors environment.
* Develop software for various micro-controllers and coping with various rt constraints.
* Involvement in projects / products from end to end - from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW and working hand by hand with HW team.
* Interface with and support Hardware teams in testing, evaluation, and troubleshooting throughout the development cycle. This role requires an understanding of power conversion, Embedded systems, and Real-Time control algorithms.

Country:
Israel

City:
Herzliya

We're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. We offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As an Analog Hardware team leader, you'll lead a team of hardware engineers developing the analog and communication circuits at the heart of our solar inverters and optimizers. You'll take your designs through the full R&D lifecycle: from concept and feasibility, through simulation, schematic design, and lab verification, all the way to mass production. This is a hands-on leadership role. You'll set the technical bar for the team, mentor engineers in their day-to-day work, and partner closely with software, system, mechanical, and production teams to bring robust products to market. It's a great fit for someone who wants to stay deep in analog engineering while growing a team and shaping how we design. What will you be doing?
* Lead, mentor, and oversee a team of hardware engineers across analog circuit design, simulation, and testing.
* Research, design, and develop analog and communication circuits, from requirements through to mass production.
* Run lab characterization and verification of analog circuits using spectrum analyzers, oscilloscopes, and other lab equipment.
* Own design reviews and serve as the professional authority for the team's engineering discipline.
* Collaborate with software, system, and production teams to ensure seamless hardware/software integration and a smooth transfer to manufacturing.
* Manage technical scope, schedule, risk, and product quality across your team's projects.
Country:
Israel
City:
Herzliya

We are looking for top-notch Developer Support Engineers, to be partners rather than just employees and be the technical focal point for our customers.
Besides a wild ride and a lot of learning, well leap your career forward!
As a Developer Support Engineer you will...
Troubleshoot and Investigate complex customers CI/CD scenarios and provide innovative solutions for their requirements
Develop scripts in Bash, Python, Groovy for debugging and automating
Set up our applications and 3rd party products in various development environments
Analyze log files, thread dumps, HTTP traffic, JVM and OS parameters
Reproduce customer scenarios and fill relevant bugs/features
Maintaining and improving a knowledge base of known issues and solutions
Integrate and collaborate with our R&D, QA, Release and Sales teams
Ability to work in flexible hours and weekends while needed.

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.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
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.