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We are looking for a talented and motivated Python Developer to join our iCloud team, part of the Infrastructure group in the development dept. This team plays a key role in shaping the developer experience, CI/CD pipelines, and platform tooling that power our engineering organization.

As part of a strategic team working in an on-premise, air-gapped environment, you'll build tools and services that enhance engineering velocity, deployment safety, and production observability. This is not just an implementation role you will be involved in system architecture, design discussions, and cross-team initiatives that improve the resilience and efficiency of our entire development lifecycle.

What Youll Do

Development Infrastructure

Design and build internal tools to support scalable, high-quality software development
Enhance CI/CD pipelines and development workflows using GitLab, Jenkins, and other tools
Collaborate with developers and platform engineers to reduce friction and accelerate delivery
Production Tooling & Observability

Improve the reliability and transparency of production systems by building monitoring and alerting solutions
Work with observability stacks (Vector, VictoriaMetrics, Loki, Grafana) to increase visibility into system behavior
Platform Engineering

Contribute to architectural decisions around deployment, automation, and infrastructure resilience
Own critical components in an environment that demands security, performance, and robust offline operation
Act as a technical partner to other teams, bringing a platform mindset to internal engineering problems

We are looking for Senior Software Program Manager that will be responsible for software programs and projects. The PM should drive planning and execution of FW/SW projects while aligning with corporate priorities and constraints.

What you'll be doing:
You will manage the networking software programs for our next generation AI Data centers.
Responsible to coordinate between all project stakeholders such as marketing, engineering teams in IL and around the world, operations, etc. from initial requirements definition through Architectural stage, execution, and delivery.
Develop and execute feature planning and prioritization of perception capabilities to meet the software programs' needs.
Identify risks, gaps, and bottlenecks in time, and find resolution with technical leaders and project management.
Work with product managers, architects, and engineers to ensure consistency with company strategy, commitments, and goals.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

As a key member of the Customer Program Management Team for our Enterprise business units, we are looking for a Senior Customer Program Management professional who will be responsible for customers' activities, leading both internal and external technical & operational program execution with our major cloud service providers and enterprise customers. Come join the team and see how you can make a lasting impact on the world!

What you will be doing:

Execute the program plan you craft by identifying, and assembling the core team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of all blocking issues, and ensuring timely customer acceptance and production deployment.

Coordinate and lead sophisticated technical engineering-to-engineering discussions related to system architecture, firmware, device driver, system management, deep learning algorithms, and/or AI workloads.

Align multifaceted global cross-functional team of software & hardware engineering, manufacturing operations, product quality, supplier procurement and/or account executives to lead product changes to product productions on-track.

Regularly report the program status to customer and executive management.

Identify interpersonal learning opportunities for continuous improvements.

Develop a close working relationship with customer development teams and use creativity to find solutions to their issues.

We own, develop, and continually optimize an intricate system of digital assets, contents, and infrastructures, all contributing to our digital advertising ecosystems. Our products and digital content range from utility applications, habit-tracking mobile apps, and gaming apps, to native advertising ad tech. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. Impact and Responsibilities
* Design, develop, and implement high-quality software solutions using JAVA and AWS services.
* Lead and implement advanced infrastructure-related tasks, including setting up and maintaining CI/CD pipelines, preferably with Jenkins, and managing deployments and containerization with AWS ECR and ECS.
* Collaborate with cross-functional teams to define, design, and ship new features.
* Write well-designed, efficient, and testable code.
* Conduct software analysis, programming, testing, and debugging.
* Troubleshoot and resolve issues in existing software.
* Analyze and study complex system requirements, prepare design documentation.
* Write technical specifications based on conceptual design and stated business requirements.
* Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
* Participate in code reviews to maintain code quality and share knowledge.
* Maintain and enhance unit tests to ensure the various components / microservices quality

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. The Embedded control teams develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, RT problems on different platforms - DSPs, Company’s ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges taking part in the following fields: power electronics, digital close loop control and digital signal processing algorithms implemented on company’s microprocessors. By joining us, you’ll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools. 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.
* Developing on various micro-controllers and dealing with various RT constraints.
* Ownership of a project\product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW


Country:
Israel

City:
Herzliya

Required Team Lead
What Youll Do:
As the Team Lead of the Account Management squad, you will guide a multidisciplinary team of backend and data engineers responsible for some of our most critical financial operations. Your mission is to build and scale the systems that keep our loan and card processes accurate, transparent, and resilient while fostering a culture of collaboration, ownership, and technical excellence within the squad.
In this role, youll not only manage talented engineers but also work closely with finance, risk, product, and compliance stakeholders to ensure our technology delivers real business impact. Your teams scope includes payment allocation, disbursement management, and the delivery of loan and card performance data products that support both internal decision-making and external reporting across regulators, partners, and investors.
Key Responsibilities:
Lead, mentor, and inspire a high-performing squad of backend and data engineers.
Own and evolve our loan account management systems and data products.
Ensure accuracy and automation in payment allocation and manage disbursement flows.
Deliver high-quality Loan Performance and Card Performance data products used across internal operations, executive dashboards, and external reporting.
Build scalable, reliable systems that support high transaction volumes with full financial integrity.
Partner with finance, risk, product, and compliance to align technology with business goals.

Required Team Lead
What Youll Do:
The Merchant-Ops squad is responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is comprised of skilled backend, frontend, and data engineers.
As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and our engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain.

Required Squad Lead
What Youll Do:
As the Card Risk Lead, you will manage a mission-critical team central to the Credit Card, our flagship product, that is responsible for developing and implementing our core risk management strategies. Leading a dynamic team of backend engineers and AI/ML specialists, your contributions will directly impact our key performance indicators and overall success.
This position is both strategic and hands-on, involving the architecture and implementation of scalable systems that power the core financial risk of the Card product.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that detect and mitigate financial risks in real time.
Work closely with the business and senior leadership.
Collaborate with cross-functional teams, including AI/ML engineers, product managers, analysts, and other engineering squads, to align risk management strategies with business goals.
Proactively maintain the stability, security, and adaptability of the financial risk management systems.
Leverage data analysis and insights to ensure alignment with the companys growth and evolving business needs.
Respond quickly and proactively to emerging trends, delivering fast, impactful solutions that protect the product's financial success.

Were looking for a Senior Software Engineer to join a dynamic and high-impact team that owns the entire risk infrastructure behind our credit card. This includes real-time decisioning systems, integration with advanced ML models, risk engines, and credit strategies that directly impact our financial health and customer experience.
You'll collaborate closely with data scientists, backend developers, and product stakeholders to build systems from scratch, design complex architectures, and ensure scalable, high-performance infrastructure capable of making split-second decisions.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Key Responsibilities:
Design, implement, and maintain large-scale backend systems for real-time risk and credit decisioning.
Build and optimize data pipelines and streaming systems that support our risk and ML models.
Work closely with data scientists to integrate predictive models into production.
Build microservices and internal tools that serve thousands of users and scale with company growth.
Own projects end-to-end from requirements and architecture to testing, deployment, and monitoring.
Collaborate with engineering and cross-functional stakeholders to ensure business alignment and smooth delivery.
Drive best practices in software engineering from code quality and security to performance and maintainability.
What Youll Bring:
A strong backend engineer with 7+ years of hands-on experience.
Experienced in designing and maintaining complex distributed systems.
Passionate about data and infrastructure: queues, stream processing, and data-centric microservices.
Excited to work on both product-oriented and infrastructure-oriented challenges.
Flexible, resourceful, and proactive.
Enjoy working closely with ML teams, learning new domains, and diving into unfamiliar territory when needed.

Required Front End Engineer
What Youll Do:
As a Frontend Engineer on the Card Team, you will take ownership of the primary platforms our customers interact with daily: our web portal and native mobile app. You will be responsible for developing new features and enhancing the functionality related to our credit card services. This is a key role where you will directly shape the user experience for hundreds of thousands of cardholders, building the next generation of features for our rapidly growing product.
Key Responsibilities:
Develop, and maintain the customer-facing web and native applications for our credit card product.
Take ownership of the end-to-end development of new credit card-related features, from concept to deployment.
Implement new functionalities, such as customer benefits, rewards programs, and innovative payment solutions.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.

Required Data Infrastructure Engineer
What Youll Do:
Design, implement, and enhance robust and scalable infrastructure that enables efficient deployment, monitoring, and management of machine learning models in production. In this role, you will bridge the gap between research and production environments, streamline data and feature pipelines, optimize model serving, and ensure governance and reproducibility across our ML lifecycle.
Responsibilities:
Decouple data prep from model training to accelerate experimentation and deployment
Build efficient data workflows with versioning, lineage, and optimized resource use (e.g., Snowflake, Dask, Airflow)
Develop reproducible training pipelines with MLflow, supporting GPU and distributed training
Automate and standardize model deployment with pre-deployment testing (E2E, dark mode)
Maintain a model repository with traceability, governance, and consistent metadata
Monitor model performance, detect drift, and trigger alerts across the ML lifecycle
Enable model comparison with A/B testing and continuous validation
Support infrastructure for deploying LLMs, embeddings, and advanced ML use cases
Manage a unified feature store with history, drift detection, and centralized feature/label tracking
Establish a single source of truth for features across research and production across research and production.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities:
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We utilize the latest Artificial Intelligence and Electro Optics technologies and develop lifesaving, vision systems for the global railway market. We are looking for a motivated Outbound Business Development Representative (BDR) to join our team Role Overview: As a BDR, you will be responsible for initiating contact with potential customers, identifying high-quality leads in the international market, and building the foundation for our sales pipeline. You will work closely with the marketing and sales managers, conduct market research, engage in outreach, and qualify prospects for further engagement by the sales team. This role is ideal for a results-driven individual who thrives in outreach, relationship-building, and strategic lead generation. Key Responsibilities: · Research and identify potential customers in the global railway sector. · Execute multi-channel outbound outreach (email, LinkedIn, phone, events) · Craft personalized messaging and value propositions tailored to prospects’ needs · Qualify leads and schedule meetings for Account Executives / VP of Business Development · Maintain accurate records in CRM and track outreach performance · Collaborate with marketing to refine campaigns and messaging · Continuously optimize outreach strategies to improve conversion rates

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.