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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.

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.

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

A fast-growing FinTech startup in Tel Aviv is looking for a FullStack Developer with strong expertise in Vue.js and solid experience in Node.js on the backend.
This is a hands-on role with real impact working on core product features, architecture decisions, and scalable production systems, in close collaboration with product and engineering teams.
Requirements:
Strong experience with Vue.js
backend development experience with Node.js
Proven FullStack experience in a startup environment
High-quality, scalable, production-ready code
Team player with strong ownership and independence
Nice to have:
FinTech domain experience
Cloud experience (AWS / Azure)

Real Time Embedded software engineer (Central Area) (5940) We are looking for a Real Time software engineer to join a team developing core software for advanced Embedded and airborne mission systems. This is a full time position in a corporate engineering environment, located in the central area.

Were seeking a visionary team lead to lead a AI & backend -focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across our company to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, youll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What Youll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. Youll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices, leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically, hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We are looking for a motivated Automation Manager to join our Cortex Platform QA group in our Tel Aviv R&D center.
The team is responsible for the design and development of UI and E2E test automation framework and tools and implementing automated tests of the company Cortex platform and the solutions built on top of it Cortex XDR, Cortex XSIAM and more.
In this role you will lead, train and motivate our UI automation team and be responsible for planning, execution and reporting of automated testing. All of this in a fast pace process of development, test and release.
More information about Cortex products can be found here.
Your Impact
Lead a team of automation engineers (5 to 8 engineers) as an organic automation team within a UI Automation group, reporting to UI Automation group leader.
Own your team's technical roadmap of automation, strategy, implementation, execution, tracking and reporting.
Design test infrastructure and environments.
Be a technical lead, including responsibility for code reviews, recruiting, personal development, training and mentoring the automation engineers.
Partner with software development managers, functional, system & performance QA leaders to devise test automation strategies to drive the automation and to come up with extensive automation coverage of testing.
Collaborate with the DevOps team to ensure test framework and methodologies are integrated with the continuous integration.
Implement infrastructure & automatic tests (be hands-on to some extent).