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As a Full Stack Developer, you will:
Develop the next generation features of the main backend services of various Company products
Design and develop high-volume, low-latency and scalable product
Partner closely with product managers, project managers and architects to align technical execution with business goals
Own features from requirements through design, implementation, testing, deployment and production support
Write well-designed, testable (unit/integration/component testing), secured and efficient code.

As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

As a QA Engineer, you will:
Lead technological projects, in system and quality aspects
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs life cycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline.

As a Backend Developer, you will:
Research, design and develop innovative solutions
Develop ever-changing backend infrastructure
Interact with cutting-edge technologies and services
Deliver E2E solutions.

You will join the R&D team building the next generation of our AI-powered metadata and context management. This system is the backbone that enables instant, actionable answers via our MCP and agentic use cases by translating complex business questions into secure, cost-aware data queries.

This is a high-impact, data-intensive role requiring production-grade backend development expertise, focused on quality, governance, and low-latency retrieval across complex data sources.

What youll do
This role focuses on the end-to-end backend development and engineering quality for our core AI retrieval plane:

Design and Scale Context Retrieval: Develop and deploy services for our hybrid RAG/GraphRAG systems, combining lexical and vector search on data from various sources.
Implement Governance Gates: Build mission-critical backend logic to enforce data security policies, ensuring customer data and internal business data are filtered, masked, or isolated based on policy tags before context is ever generated.
Own the Quality Lifecycle: Design and implement automated evaluation to continuously measure the precision, recall, and faithfulness of the retrieved context against golden metrics.
Optimize Performance and Cost: Architect backend solutions for performance, including designing semantic caching strategies, memory, and context compression.
Data Modeling & APIs: Contribute to the graph model and APIs for retrieving metadata (glossary terms, lineage, schemas), enabling sophisticated context assembly for the agent.
Full Observability: Implement comprehensive tracing and monitoring for every agent component and tool call, ensuring high service reliability and quick root-cause analysis.

We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage our accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across us and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

Our teams deploy fast and often, having code deployed in production shortly after it was written, focusing on safety, robustness and proper architecture of our backend that handles over a hundred of billions of events daily at a fast pace.

Our Backend developers shape and improve our microservices architecture daily to provide the leading mobile analytics solution. To do this, we use cutting-edge technologies such as Clojure, Go, Kafka, Redis, BigQuery, GraphQL, SQL and NoSQL databases, in addition to hosted solutions that AWS and GCP have to offer and more

What youll do:
Own and develop our products and features end-to-end - from design to production.
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers and Software Engineers to deliver value to customers.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We’re looking for passionate and bright individual who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s S3 Protocol Development team. As a Software Engineer in the S3 Protocol Development team, you will design and implement core features of an S3-compatible object storage system. You will work on high-performance data paths, distributed systems logic, and protocol compliance to ensure seamless integration with high performance applications and data protection applications. Your work will directly.

Responsibilities:


* Design, develop, and optimize core S3 protocol components in a large-scale distributed storage system.
* Ensure compliance with AWS S3 API standards and extend functionality with advanced features.
* Collaborate with cross-functional teams on scalability and performance optimizations.
* Troubleshoot and resolve complex issues in development and test environments.
* Participate in code reviews, design discussions, and architectural decision-making.
* Continuously explore and evaluate new technologies and approaches to enhance protocol efficiency and system reliability.

Our awesome data team is looking for a passionate Data Analyst to explore and extract insights from millions of connected vehicles on the road. In this role, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
We are a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles revolution from a different angle. You will play a major role in the companys engagements, research large complex datasets, and use cutting-edge tools and methodology.
This role is full-time and is Israel based.
Responsibilities
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.
Automate internal processes using scripting languages.

In your role as an Interoperability Team Leader at the INFINIDAT Solutions team, you will lead a highly skilled unit responsible for ensuring the Interoperability, availability, stability, and seamless integration of our core product, the iBox. You will drive the rapid implementation of new solutions across a diverse ecosystem of client platforms and third-party services, ensuring top-tier compatibility without compromising on system performance. In this position, you will work closely with various company departments, including Product Management, R&D, Professional Services, and Support.

Responsibilities:

* Managing engineers in the team as they navigate complex interoperability challenges, overseeing their work throughout the software design, implementation, and debugging phases.
* Investigate and analyze complex system-level issues to ensure product stability
* Participate in technical reviews – requirement reviews, development design reviews, test design reviews and field report reviews
* Test planning, design and execution for the company’s products
* Setting up and maintaining long-running hardware and software test environments

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 30 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. The Tier 1 Team operates in a dynamic and energetic environment and plays a key role in providing first-line support to SolarEdge customers. We deliver high-quality, professional support while collaborating closely with various departments and interfaces across the company. As part of the team, you’ll serve as the initial point of contact for customers and contractors on technical matters—providing guidance, troubleshooting, and escalating issues when necessary. You will respond to phone calls, emails, and chats in a timely, service-oriented manner, explaining and resolving technical situations for non-technical individuals. By joining us, you’ll gain hands-on experience troubleshooting and supporting a variety of hardware and software configurations, running tests and diagnostics, and ensuring our customers receive professional, efficient support. This is a Temporary Position - Maternity Leave Replacement. What you'll be doing:
* Act as the first point of contact, interacting with customers using multiple support channels (phone, email, chat, CRM).
* Provide technical support, troubleshooting, and diagnostics for SolarEdge products (inverters, optimizers, monitoring portal, etc.) using available resources such as product schematics, knowledge bases, and other sources of information.
* Document all interactions and activities in the CRM system.
* Resolve technical issues using SolarEdge's tools (according to permission level).
* Escalate unresolved cases to higher support tiers when needed.
* Work with Customer Service Logistics to validate authorization for the release of parts needed to resolve problems encountered by customers.
* Participate in team meetings and collaborate with global colleagues to resolve customer cases.

Country:
Israel

City:
Herzliya

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

Responding to customer inquiries across various channels
Handling, tracking, and documenting customer cases in internal systems
Coordinating with relevant company teams as needed
Meeting defined targets and service-level agreements (SLA)
Combining customer-facing communication with back-office operational tasks