Power the Future with us! At SolarEdge (NASDAQ: SEDG), 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. SolarEdge 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. We are looking for an experienced Software Team Leader to lead the development of modern, cutting-edge orchestration software that controls "Distributed Energy Devices" and optimizes electric grid performance at a continental scale. In this role, you will lead a global team of talented engineers, building high-performing, scalable, enterprise-grade applications. You will operate in a fast-paced environment, balancing hands-on technical leadership with people management, ensuring we deliver complex, efficient solutions that define the future of energy. What You Will Do Global Team Leadership: Lead, mentor, and grow a diverse team of developers located across multiple global locations. Foster a culture of collaboration, technical excellence, and ownership. Architecture & Design: Lead the design of mission-critical systems with a strong focus on API best practices and modular architecture to ensure scalability and maintainability. AI-Driven Development: Champion the integration of AI and LLM tools into the development lifecycle. Drive the adoption of AI for code generation and optimization to boost team velocity and code quality. Delivery & Roadmap: Manage team tasks and sprint lifecycles. Collaborate closely with Product Management to define and execute the project roadmap. Hands-On Contribution: actively participate in all phases of the development lifecycle, including high-level design, code reviews, and hands-on coding when necessary to resolve complex bottlenecks.

Country:
Israel

City:
Herzliya

Fire-Arc is 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. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc

We are seeking an experienced Team Leader to lead a high-performing Full Stack Engineering team responsible for building scalable, performance-driven applications. This role combines hands-on technical expertise in Python with strong leadership skills to guide and mentor a team of talented engineers.You will drive technical excellence, ensure delivery of complex projects at scale, and foster a culture of ownership and accountability. The ideal candidate has a proven track record of leading full-stack teams and building systems that handle large-scale workloads.
optimized cyber risk quantification platform, Hyver, transforms the way that organizations manage cybersecurity. Hyver visualizes attack routes, quantifies cyber risk, provides evidence-based mitigation plans, improves communication with executives, and improves organizational cybersecurity posture. Hyvers clear and relevant insights empower companies to make effective cybersecurity decisions.Our technology stack includes AWS, K8s, Docker, Redis, PostgreSQL, Apache Spark with Databricks and more.
You'll work on:
Lead and mentor a team of Full Stack Engineers, ensuring high-quality delivery and professional growth.
Remain hands-on with coding and architecture, primarily in Python, while guiding best practices.
Design and implement scalable, high-performance applications across backend and frontend layers.
Collaborate with Product, QA, and other engineering teams to deliver end-to-end solutions.
Drive technical decisions, code reviews, and architectural discussions.
Ensure adherence to SDLC best practices, CI/CD pipelines, and modern development workflows.
Promote a culture of ownership, responsibility, and continuous improvement within the team.

Were looking for an experienced Team Leader to join our growing R&D.

We use Java to develop our backend and use the latest AWS services for development and production environments.

You will:
Hire and manage a development full stack agile engineering team.
Lead the adoption of AI-assisted development tools and practices.
Develop the tools and infrastructure for our data processes.
Work closely with our product team to understand and define requirements.
Manage your team tasks and ensure quality and timely execution using agile methodologies.

We are looking for a hands-on GTM Engineer to help make our Go-to-Market engine smarter, more efficient, and more effective. This role focuses on removing manual and administrative work from GTM teams, enabling humans to focus on strategy, creativity, and decision-making while systems handle execution and scale.

The GTM Engineer designs and operates HubSpot-centered GTM architecture and AI-powered automation that improves speed, accuracy, and scalability across Marketing, Sales, and SDR workflows.

What you will do:
Own day-to-day administration, configuration, and optimization of HubSpot across Marketing and Sales use cases.
Design and maintain GTM system architecture, including data models, lifecycle logic, routing, scoring, and automation frameworks.
Build, operate, and continuously improve AI-powered workflows that reduce manual work and increase GTM velocity.
Implement advanced automation using tools such as Clay, AI agents, and workflow orchestration platforms.
Integrate HubSpot with Salesforce and other GTM systems to ensure reliable data flow and process consistency.
Automate enrichment, qualification, routing, outbound support, and handoff processes across the funnel.
Monitor data quality, automation health, and system performance, proactively identifying and resolving issues.
Document system logic, workflows, and automation patterns to ensure maintainability and scalability.
Continuously experiment with new AI and automation approaches and apply them to practical GTM use cases.