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Thinking about where to invest your Hanukkah gelt? We offer the smartest option data -driven, validated credit models.
Were hiring a Validation data Scientist to join our team in a hybrid high-tech environment on the train line in Tel Aviv and help make ML credit models as reliable as the eight nights of Hanukkah.
This is a 9-month contract with the possibility of extension, perfect for someone who loves analytical challenges and working closely with cutting-edge ML models.
What youll do:
Validate ML credit models: assess performance, data quality, robustness, and conceptual soundness
Challenge model assumptions and suggest alternative approaches
Provide insights into model strengths and weaknesses and recommend practical solutions
Prepare thorough documentation for regulatory standards
Support ongoing monitoring and improvement of predictive models.

We are seeking a senior communication systems engineer to help develop the next generation of algorithms and standards that power this revolution.

Responsibilities
Research, analyze, and develop advanced wireless communication technologies and algorithms for Ambient IoT devices, including wireless modulation, coding, and channel estimation.
Draft, present, and contribute technical proposals to standardization bodies such as IEEE, 3GPP, and Bluetooth.
As part of the Technologies team, work on strategic solutions and collaborate with engineering groups including system-on-chip, RF, system, and network to ensure cohesive product development.
Continuously learn and explore new topics as needed to support the evolving solution, including communication layers, modeling, security, and location.

As a Senior Automation Architect , you will design, build, and maintain our test automation infrastructure, ensuring it meets the highest standards of availability, reliability, and quality. Youll own the testing lifecycle end-to-end, collaborate closely with cross-functional teams, and play a key role in strengthening both product quality and the automation ecosystem.

Responsibilities
Design and architect scalable, maintainable, and modular automation frameworks for backend and frontend domains.
Define best practices, patterns, and standards for test automation architecture, ensuring long-term maintainability and reuse.
Build automation infrastructure that scales with growth integrating seamlessly into CI/CD pipelines and cloud environments.
Collaborate with DevOps and engineering teams to ensure automation systems are resilient, distributed, and optimized for speed and scalability.
Evaluate, integrate, and maintain advanced frameworks, tools, and technologies (Playwright, TypeScript, Python, Java, etc.) across multiple projects.
Drive GenAI and AI-assisted automation innovation, implementing smart agents, self-healing tests, or AI-based analysis tools.
Define and implement non-functional testing (NFT) capabilities performance, load, and reliability testing as part of the automation strategy.
Partner with developers, DevOps, and observability teams to correlate test data with production metrics and system health indicators.
Design solutions for distributed and parallel test execution, ensuring optimal performance in large-scale environments.
Conduct code and architecture reviews for automation projects to maintain technical excellence and consistency.
Mentor engineers and serve as the go-to expert for automation frameworks, scalability, and test strategy design.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.
Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.
The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Management Level Definition:
Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
Responsibilities:
Designs simple to moderate cloud application features as per specifications.
Develops and maintains cloud application modules adhering to security policies.
Designs test plans, develops, executes, and automates test cases for assigned portions of the developed code.
Deploys code and troubleshoots issues in application modules and deployment environment.
Shares and reviews innovative technical ideas with peers, high-level technical contributors, technical writers, and managers.
Analyses science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

We're looking for a technical PM for our 'Dataset Marketplace' product - someone who gets data products. You'll own a platform with 200+ pre-collected datasets across verticals like B2B, e-commerce, and social media.
Your job? Help customers browse, filter, and subscribe to fresh data that powers their business.
Responsibilities
Own the entire product lifecycle from discovery to launch to optimization
Define and track KPIs that matter - revenue, activation, retention
Ship features that customers actually use (not vanity projects)
Run experiments, analyze results, double down on what works
Say no to good ideas to focus on great ones
Present to leadership with data, not opinions
Why this role rocks:
You'll shape how thousands of companies access and use data
Direct impact on revenue - your wins show up in the numbers
Work with cutting-edge AI and data tech
Small team = massive ownership and visibility
We actually listen to product (seriously, ask the team).

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.
This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutionsincluding the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.
What Youll Do
Architecture & Strategy
Own the architecture of our data platform, ensuring scalability, performance, reliability, and security.
Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
Collaborate with engineering and product leadership to shape the technical roadmap.
Engineering & Delivery
Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
Implement data quality, lineage, observability, and automated testing frameworks.
Build ingestion patterns for APIs, event streams, files, and third-party data sources.
Optimize compute, storage, and transformation layers for performance and cost efficiency.
Leadership & Collaboration
Serve as a senior technical leader and mentor within the data engineering team.
Lead architecture reviews, design discussions, and cross-team engineering initiatives.
Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.

As a Senior Automation Lead , you will design, build, and maintain our test automation infrastructure, ensuring it meets the highest standards of availability, reliability, and quality. Youll own the testing lifecycle end-to-end, collaborate closely with cross-functional teams, and play a key role in strengthening both product quality and the automation ecosystem.

Responsibilities
Lead and mentor a team of automation engineers, providing technical guidance, reviews, and growth opportunities.
Define and maintain automation strategy, aligning with company goals and release pipelines.
Oversee test automation across multiple domains backend (API, microservices), frontend (web).
Mobile - advantage.
Streaming - advantage.
Manage automation project roadmaps, priorities, and integrations into CI/CD and DevOps workflows.
Establish best practices for structured test design, code quality, and maintainable architecture.
Collaborate closely with development, product, DevOps, and AI teams to ensure full test coverage and visibility.
Drive GenAI adoption in automation including AI agents, self-healing tests, and intelligent reporting.
Define automation metrics and dashboards for visibility into product quality, velocity, and test health.
Champion continuous improvement in test processes, tooling, and developer experience.

We are looking for a talented and experienced Data QA Engineer to join our data team. In this role, you will be responsible for ensuring the quality of the data we collect from websites. You will work closely with the development team, data analysts, Project Managers etc. to ensure that the data meets the highest standards of accuracy, integrity, and consistency.
Responsibilities
Planning, developing, and executing comprehensive test scenarios for data clients, that are based on public Web data:
Designing tests for client data needs, based on manual and automated methods
Performing manual and automated testing of data - integrity, accuracy etc.
Leveraging SQL to retrieve and analyze data from various databases
Documenting and tracking bugs and data quality issues
Analyzing large data sets to identify trends, anomalies, and potential problems
Communicating test findings clearly and effectively to various stakeholders
Defining QA standards and tools for partners developing data scrapers or performing basic QA testing for data:
Designing tests for different types of data being collected online
Building automated tests where relevant
Documenting methods and tools
Training the partners as needed
Validating the partner QA effectiveness
Developing and maintaining automated testing tools and scripts
Working closely with team members to ensure that the QA meets business and technical requirements
Staying updated with new testing technologies and methodologies.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

Justt helps many of the world’s largest and most recognizable brands turn chargebacks from a constant headache into a managed, predictable part of doing business. Our AI-driven platform powers chargeback operations at scale, automating disputes end to end, recovering revenue that would otherwise be lost, and removing a major operational burden from finance, risk, and operations teams across multiple regions and verticals. We’re a global company with teams across markets, and disciplines, working closely with leading players in the payments ecosystem. Our culture is built on clear thinking, collaboration, and a strong sense of ownership. At Justt, you’ll partner with product, engineering, data, success and go-to-market teams to build technology that sits at the core of modern payments, and has a direct, measurable impact on the bottom line for some of the biggest companies in the world.
The Onboarding Manager owns the full end-to-end onboarding lifecycle for new Justt customers. This includes gathering and defining requirements, configuring Justt’s product to match each customer’s business model, leading cross-functional execution, and ensuring the customer goes live with the correct data, integrations, and configuration to achieve maximum quality, customer satisfaction in minimum onboarding time. The role requires strong project management, deep understanding of the product and the chargeback domain, and the ability to learn technical concepts quickly (PSPs, APIs, data flows). You will guide customers through PSP connection steps, explain our APIs clearly, and translate customer flows into precise system configuration that drives case quality and performance. 1. End-to-End Onboarding Ownership
* Lead the full onboarding project, both externally with the customer and internally with Product, Engineering, Data, SE, and Ops.
* Manage requirements, timelines, risks, and communication through to go-live.
* Deliver clear SOWs and onboarding documentation.
* Ensure the customer connects their PSP to Justt and provides all required data inputs. 2. Integration & Data Enablement
* Explain Justt’s APIs, data structure, and enrichment options in simple, customer-friendly language.
* Identify the exact data points needed per customer and the rationale behind them.
* Map customer data to Justt’s required fields and flag gaps early.
* Validate data completeness and correctness during and immediately after onboarding. 3. Product Configuration
* Translate business models, purchase flows, and policies into accurate product configurations.
* Optimize configuration to maximize evidence strength and recovery performance.
* Document configuration decisions and ensure internal alignment. 4. Performance & Quality Monitoring
* Monitor data accuracy and completeness during the first months post-launch.
* Track early recovery results and quickly escalate issues.
* Coordinate fixes across Product, Engineering, or customer teams when needed. 5. Chargeback Domain Expertise
* Maintain strong understanding of Justt’s chargeback strategy, evidence types, and argument logic.
* Ensure configuration and data inputs fully support high-quality cases.
* Provide structured feedback to Product regarding configuration gaps or new opportunities.

Embedded rt software engineer - Servo Systems (5989) Location: Rehovot Area Full-time | On-site

rt Embedded Software Developer High Level (5987) Location: Rehovot Area We are looking for a High Level Software Developer to join an airborne software team working on real time Embedded applications. This is a full time position in a corporate engineering environment, based in the Rehovot area.