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Power the Future with us! 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 a Senior frontend Engineer, you will:
* Develop an efficient and fully responsive Embedded IoT server used during installation and configuration flows.
* Design clear, reliable, and reusable HTTP-based APIs for communication with mobile and web applications.
* Develop modern, user-friendly web interfaces for the companys next-generation smart IoT products.
* Build rich React applications using Hooks, Context, and scalable state-management patterns.
* Create and maintain a consistent design system and collaborate closely with UX / UI teams to deliver high-quality user experiences.
* Write clean, TEST -driven, maintainable code following industry best practices.
* Work closely with Embedded software teams, mobile teams, and integration groups to ensure smooth end-to-end functionality.
* Participate in Agile/Scrum ceremonies and contribute to delivering high-quality software on time.
* Take full ownership of large features, including handling incomplete specifications, driving technical decisions, and mentoring other developers.

Country:
Israel

City:
Herzliya

we are seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems. we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

Required Application Support Engineer
Israel, Petah Tikva
We are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
As an Application Support Engineer, you will be the first point of contact for our clients, providing essential support and ensuring a seamless experience. You will troubleshoot and resolve technical issues, manage customer inquiries, and work closely with other teams to maintain high service standards. Your role is critical in maintaining client satisfaction and ensuring the smooth operation of our services.
Responsibilities:
Troubleshooting Issues: Assist customers with resolving technical issues related to the integration.
Providing Technical Assistance: Guide customers on how to use specific features or tools on the platform.
Ticket Management: Track and resolve support tickets efficiently, ensuring timely resolution.
Bug Identification and Reporting: Identify, replicate, and report bugs to the relevant teams.
Liaising with Developers: Work with the development team to escalate and resolve complex technical issues.

As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.

Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.

We are seeking a skilled and experienced Product Manager to join our team in the field of SaaS security. The ideal candidate will be responsible for designing major parts of our SaaS security product. They will work closely with cross-functional teams including engineering, marketing, and sales to identify and prioritize features and functionality, design the features and oversee their development.

If you are a self-motivated and results-driven individual with a passion for delivering innovative products and solutions in the SaaS security industry, we encourage you to apply for this exciting opportunity.

Responsibilities
Define and prioritize product features and functionality based on customer needs, market trends, and business objectives
Create functional requirement documents and manage the features backlog
Collaborate with engineering teams to define and ensure that product development aligns with the product roadmap and meets customer requirements
Conduct market research and customer calls and translate those into product requirements
Collaborate with sales and marketing teams to ensure successful product launches and provide product training and support
Monitor and analyze competitors' products and positioning to ensure our products remain competitive and meet market needs

We are looking for a Chargeback Analyst to join our Fraud and Payments team. In this role, you will become a domain expert in a growing team and a fast-changing environment. As a Chargeback Analyst, you will work with multiple payment providers and systems, analyze and respond to chargeback disputes, collaborate with different teams, and become a subject matter expert in chargeback and dispute handling and management. You will also play a key role in improving processes and driving operational excellence across the organization.
Responsibilities:
Investigate and analyze payment disputes across multiple payment providers
Review and represent chargebacks and retrieval requests
Build and maintain the operational chargeback data center
Collaborate with Fraud, Customer Service, Finance, and other cross-functional teams to provide winning case responses
Work on cross-team and cross-functional projects to improve operational efficiency
Create and optimize chargeback workflows and operational processes
Monitor performance according to card scheme programs and regulations.

Required Delivery Solution Engineer
Israel, Petah Tikva
We are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

We are looking for a NOC Engineer to join our growing TechOPS team.
The position consists of 4 shifts a week on nights and weekends in our R&D Center in Petach Tikva.
This position provides a great opportunity to enter the high-tech world and relevant for for students and graduates of technical degree or equivalent experience.
Responsibilities include debugging complex technical issues, investigating logs, writing SQL queries and monitoring our services.

As a Senior Big Data Engineer, working within Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:

Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

Were looking for a Senior Backend Engineer to join core engineering group and build the systems behind one of the worlds largest location-analytics platforms.

In this role, youll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If youre motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.





RESPONSIBILITIES:

Design, build, and evolve large-scale, distributed backend systems that power data and AI products
Own services end-to-end - from architecture and design to production, monitoring, and continuous improvement
Drive performance, scalability, and reliability, using data and metrics to guide decisions
Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
Raise the engineering bar through code reviews, design discussions, and technical mentorship

We are looking for a Software Engineer to join our core Algorithm team as an dedicated data-core / platform engineer. You will support the algorithm engineers developing detection algorithms to design and build the infrastructure they run on: the object-detection (OD) pipeline, its orchestration and deployment, its data and model catalog, and the benchmark and labeling systems that drive model improvement. This is a high-autonomy role with real, end-to-end ownership of production systems from day one.

The technologies listed in this description are examples of our day-to-day - not a rigid checklist. We care far more about how you think, how you plan, how you debug, and how fast you learn than about which specific tools you have already used. If you love the craft of making things work and want to go deep, you can learn the rest here.

In the AI era, being a strong engineer means more than writing great code. It means operating as an architect who directs AI agents - designing the solution with clarity, then guiding them to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.



What You'll Do

Take on hard, open-ended infrastructure challenges and make them work - designing, building, decoupling, and hardening the systems behind our object-detection pipeline, from data and model management to benchmarking, so everything runs reliably at scale.
Architect and build the backbone of the OD pipeline - orchestration (Airflow on Kubernetes), data plumbing (S3 / PostGIS / SQS), CI/CD, and deployment across multiple environments - designing clean interfaces and data contracts the algorithm team can build on with confidence.
Debug across the whole stack, wherever the problem leads - a stuck DAG, a flaky pipeline stage, a slow query, a GPU/driver mismatch - and turn one-off firefights into lasting fixes and better observability.
Own the data and model lifecycle: versioned datasets and model weights with clear provenance, and the labeling → export → retraining loop that keeps the models improving.
Learn fast and go deep. Pick up new tools and new layers of the stack as the work requires, and raise the team's engineering and operational standards as you go.
Partner closely with algorithm engineers and the data-collection / labeling operations team to turn research prototypes into robust, scalable production systems.
Integrate AI tools into your workflow and grow into operating as an architect who directs AI agents - designing the solution, then guiding them to build it.

As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.



Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.



We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.





Key Responsibilities

Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.

Develop and maintain data processing pipelines.
Collaborate with data scientists to optimize data models.
Implement scalable algorithms for data analysis.
Ensure high performance and reliability of data systems.
Participate in code reviews and knowledge sharing sessions.

We are looking for a Staff Algorithm Engineer to join our core Algorithm team - a high-autonomy group responsible for the algorithm and ML systems at the heart of 4M's mapping engine. This is a role for engineers who think in systems, bring cutting-edge computer vision and algorithmic thinking to ambitious real-world challenges, and own problems end-to-end with an entrepreneurial drive.

In the AI era, being a strong engineer means more than writing great code. It means operating as both an architect and a team lead - designing the solution with clarity, then guiding AI agents to execute it at a level and speed that wasn't possible before. We are building a culture where this is the norm, and we're looking for someone who is excited to work and grow in that direction.

You will work across computer vision and algorithm disciplines - researching solutions, designing experiments, and delivering production-grade implementations - while collaborating closely with data engineering and product teams.





What You'll Do



Research and implement novel computer vision and algorithmic solutions for challenging real-world problems - spanning perception, learning, optimization, and graph-based reasoning.
Own algorithm quality end-to-end: design experiments, evaluate results, and drive iterations until production reliability targets are met.
Work across disciplines - sharing models, methods, and insights with algorithm, data engineering, and product teams.
Monitor production model health proactively; identify degradation early and lead remediation efforts.
Integrate AI tools into your workflow and grow into the role of architect and team lead - designing the solution, then directing agents to build it.
Raise the bar on the team's technical culture through code reviews, knowledge-sharing, and rigorous algorithmic thinking.