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XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems.
About The Position We are looking for a motivated and experienced Senior Developer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in Kubernetes and different cloud environments, and will excel in developing advanced k8s-related features. Proficiency in NodeJS (Typescript), MongoDB, Kubernetes, Docker, and data queues is essential for this role, as you will be instrumental in refining our cloud CTEM offering.
Key Responsibilities:
* Design and implement advanced k8s-related features to enhance our existing offerings.
* Streamline deployment processes and ensure system reliability by demonstrating expertise in Kubernetes and Docker.
* Develop modular and scalable solutions while leveraging microservices and jobs architecture.
* Utilize advanced data processing techniques with tools such as Spark , Flink, written in Scala to improve system performance.
* Contribute to the enhancement of system reliability at scale through hands-on experience with large-scale applications.
* Develop attack techniques for K8S, cloud and AI technologies.

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.

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.