Automation Engineer jobs in Ramat Gan

Description We are looking for a motivated Automation Developer Student to join our team and help us scale our test automation. You will expand our existing Python-based integration test framework, covering our server-side APIs, services and databases. Working closely with QA engineers and developers, you will build reliable, comprehensive automated tests that replace manual QA checks, shorten our release cycles and directly improve product quality. What You'll Do: Develop and extend automated tests within our existing Python integration test framework Translate features, user flows and QA test plans into clear, complete and reliable automated test scenarios Write integration tests covering APIs, backend services and databases Collaborate closely with QA engineers and developers to make sure automated tests are thorough enough to replace manual testing Maintain and improve existing tests, investigate failures and help keep the test suites stable and trustworthy Use AI tools to work efficiently and keep improving how the team builds and maintains tests Requirements You'll Do It Using: Currently pursuing a B.Sc. in Computer Science or Software Engineering, with at least 3 semesters left to graduation and a GPA of 80 or above Hands-on experience with Python or a similar backend language (e.g., Java, C#, Go) Practical experience using AI tools effectively for coding Advantages: Experience with Pytest Experience with REST API testing Familiarity with Git, CI/CD or SQL You'll Excel By: Learning quickly and independently, and taking ownership of your tasks Being a true team player who enjoys working closely with QA and developers Bringing a curious, structured and proactive approach to problem solving Communicating clearly and professionally, and asking the right questions Caring about quality and thinking about the edge cases others might miss 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.

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.