Automation Engineer jobs in Israel

The Automation Developer (RPA) and AI Engineer will design, implement, and optimize AI-driven solutions and intelligent automation workflows, including RPA, that support enterprise clients. The individual will build and integrate AI agents, develop automation pipelines, and connect data sources into reliable production systems. Day-to-day activities include designing and developing AI agents, vibe coding solutions, RPA solutions, and engineering scalable software components that interface with existing corporate systems. The role also involves collaborating with product teams on platforms such as DataLens. The position is intended for someone who is comfortable working closely with technical and business stakeholders to translate strategic requirements into robust, automated AI workflows and automations. Responsibilities Complex Automation Development: Design, develop, test, and maintain end-to-end RPA and automation processes. Software Development Life Cycle (SDLC) Management: Write technical specification documents, perform software testing, and conduct debugging and maintenance for production systems. AI Integration in Automation (Intelligent Automation): Implement Large Language Models (LLMs), AI Agents, and RAG capabilities within existing workflows. Complex Integrations: Work with APIs, connect core enterprise systems, and build efficient and secure data pipelines. Requirements Strong, proven background in software development (B.Sc. in Computer Science/Software Engineering or equivalent extensive practical experience). Proficiency in Software Development using modern programming languages (e.g., Python, JavaScript, or similar) and version control tools. UiPath: At least 3 years of proven experience in developing complex RPA processes, including hands-on experience with advanced design patterns with emphasis on REFramework, and full proficiency in UiPath Orchestrator including Queue management, task scheduling, and Exception Handling logic. Power Automate: At least 2 years of experience in developing and building Flows. Practical knowledge and experience integrating and developing with Large Language Models (LLMs) such as OpenAI, Claude, and Gemini. Practical experience with workflow automation platforms (e.g., n8n, Make, Power Apps) and data engineering frameworks (e.g., dbt or equivalent) is highly beneficial. Hands-on experience in developing AI Agents and familiarity with RAG (Retrieval-Augmented Generation) architectures. Full proficiency in Python (with a focus on AI development environments). Familiarity with cloud environments, APIs, and microservices architectures, with an ability to build secure, scalable integrations. Experience working with AI libraries and frameworks such as LangChain or LlamaIndex. Strong analytical and problem-solving skills, with the ability to diagnose operational bottlenecks and design automated solutions. Effective communication and collaboration skills for working with cross-functional teams and translating business requirements into technical designs. Advantages Previous experience as a Full Stack Developer (a significant advantage). Experience working with advanced UiPath tools such as Document Understanding, AI Center, and Action Center. Practical knowledge of databases (SQL) with the ability to query and manipulate data within automation processes. Experience working in cloud environments (AWS, GCP, Azure).

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions. The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams. What you'll do: • Define and drive the technical strategy and architecture of automation. • Design, develop, and maintain scalable automation frameworks. • Develop automated tests using Python and pytest. • Integrate and maintain automation within CI/CD pipelines, including Jenkins. • Define automation best practices, coding standards, and quality guidelines. • Improve automation stability, execution time, coverage, and maintainability. • Lead debugging and root-cause analysis of complex automation and system issues. • Mentor automation engineers and conduct code reviews. • Collaborate with R&D to improve product testability and quality. • Evaluate and introduce new technologies and approaches, including AI-based testing and automation. What you should have: • 5+ years of experience in QA, test automation, or software development. • Strong hands-on experience with Python and pytest. • Experience working with complex multidisciplinary systems and products across software, hardware, and networking domains. • Experience with Linux, Docker/Kubernetes, REST APIs, networking, or distributed systems. • Experience designing and maintaining automation frameworks. • Strong knowledge of Git and CI/CD, preferably Jenkins. • Experience with AI-assisted development or testing. • Solid understanding of software testing methodologies and QA processes. • Experience with API, integration, system, and end-to-end testing. • Strong debugging and troubleshooting skills. • Experience working in Agile/Scrum environments. • Strong communication, problem-solving, and technical leadership skills. • Ability to lead technical initiatives and influence teams without formal authority. Education: • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Description Founded in 2002, AU10TIX is a global leader in AI-driven identity verification and management, protecting the world’s largest brands against advanced fraud. Our future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4–8 seconds, while staying ahead of emerging threats and evolving regulatory requirements. We are looking for a QA Automation Engineer to join our R&D organization and help ensure the quality, reliability, and performance of our products. In this role, you will develop and maintain automated tests, with a strong focus on UI automation, working closely with developers and other team members to improve test coverage and product quality. Responsibilities • Design, develop, and maintain automated tests. • Identify, investigate, and report software defects. • Analyze test results and support troubleshooting efforts. • Collaborate with developers and other team members throughout the development lifecycle. • Improve test coverage, automation efficiency, and testing processes. • Contribute to the overall quality and reliability of our products.  Requirements • 6 years Experience in QA automation. • Experienced with CI/CD tools (Jenkins/Azure pipeline). • Hands-on experience with UI automation using Playwright. • Knowledge of software testing methodologies and best practices. • Experience with test automation tools and frameworks. • Basic programming skills in at least one programming language. • Strong analytical and problem-solving skills. • Good communication and collaboration skills.

Description We're looking for an Automation Engineer to join the System Automation team, the central automation team within Earnix's engineering department. SA owns the company-wide system automation platform: the system, correctness and performance tests, and the pipelines that run them, across Earnix products and a rich technology stack. Our current focus is scale and performance. We test the limits of the system, benchmark it against realistic, large-scale workloads, and catch performance regressions before every release. We're also turning that expertise into a platform, with frameworks, tooling and know-how that let product teams write and run system tests themselves. You'll work closely with developers, architects, product managers, QA and DevOps engineers, and you'll help shape both the tests and the platform. What you'll do: Design, build and evolve the SA platform: the frameworks, tooling and CI pipelines that run system, correctness and performance tests across Earnix products. Plan and run system-limitations testing to find where the product breaks under data volume, concurrency and load, and turn the findings into clear, actionable results. Build and maintain performance benchmarks on realistic workloads, and run them on to catch regressions early. Make it easy for product teams to own their system tests by creating reusable building blocks, documentation and examples, and by coaching engineers through knowledge-sharing sessions. Analyze results with developers and architects to pinpoint bottlenecks and drive fixes. Use AI-assisted development tools and agentic workflows to speed up test creation and maintenance, and keep up with what's changing in automation and performance engineering. Requirements You'll do it using: 3+ years of experience in automation or software development, with strong focus on server-side with Python Hands-on experience building test frameworks or test infrastructure, not only writing test cases Experience with CI/CD pipelines (Jenkins or similar), Git and Docker Experience with AWS and Linux environments Hands-on experience with AI-powered development tools (e.g. Claude Code, Cursor, Copilot) Bachelor's degree in Computer Science, Engineering, or a related discipline Excellent written and verbal English communication skills Advantage: Experience with performance and load testing tools (e.g. Locust, JMeter, k6) Experience with Kubernetes (preferably EKS) Experience with metrics and observability tools (e.g. Grafana, Prometheus) for analyzing system behavior under load Experience generating test data at scale Background in mathematics or statistics, for analyzing benchmark results You'll excel by: Bringing strong analytical and problem-solving skills, and digging into the data until you find the root cause Thinking at the system level, beyond individual components Working independently and owning outcomes end to end as a fast learner who gets things done Communicating clearly and enjoying helping other engineers succeed with the tools you build Being resourceful, creative and pragmatic Position Intro Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and 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.

The SW validation team plays a key role in enabling the next generation of autonomous driving technologies. In their primarily Python-based development environment, they are responsible for developing and maintaining test content for the autonomous vehicle brain, supporting complex end-to-end validation flows across the system. As part of the full autonomous driving pipeline, they work closely with cutting-edge technologies and gain direct exposure to the real-world impact of their work — helping bring some of Mobileye’s most advanced autonomous driving capabilities from development into reality. What will your job look like: • Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows • Review and approve system architecture requirements • Design and implement complex test solutions • Enforce compliance with autonomous vehicle industry standards All you need is: • BSc in computer science or computer engineering • Experience in python - must • 3 years of experience in development or SW validation • Experience with Linux user space and bash scripts • Strong capabilities in triage and debug of SW system issues • Knowledge and experience in CI/CD (Jenkins) - advantage Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The SW Validation team at Mobileye is looking for a hands-on Technical Lead to drive the design, development, and advanced Python-based test automation solutions for Mobileye's autonomous driving platform. Working as part of the SW Validation team, you will lead the technical direction of complex end-to-end validation flows, combining deep technical ownership, software design, complex system debugging, and mentoring of other automation engineers. As an integral part of the autonomous driving pipeline, you'll work with cutting-edge technologies in a primarily Python-based development environment and have a direct impact on bringing Mobileye's most advanced autonomous driving capabilities from development into reality. What will your job look like: • Be the technical lead of the team that is responsible for the development of test content (mostly in Python) for the autonomous vehicle system and E2E flows. • Review and approve system architecture requirements. • Design and implement complex test solutions. • Enforce compliance with autonomous vehicle industry standards. All you need is: • BSc in computer science or computer engineering. • 7+ years of experience in development or SW validation. • Experience in python - must. • Experience with Linux user space and bash scripts. • Strong capabilities in triage and debug of SW system issues. • Knowledge and experience in CI/CD (Jenkins). • Familiarity with Git. • Familiarity with Networking.