Automation Engineer
- Compensation
- Not disclosed
- Location
- Ramat Gan, Tel Aviv District
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Industrial engineering
- Posted
Skills
Must have
- 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
Full 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