Design, develop, and maintain robust automated test frameworks and test suites for network and observability platforms.
Define test strategies for functional, integration, performance, scalability, and regression testing.
Collaborate with engineering teams to understand requirements, design test cases, and identify potential risks.
Integrate automated tests into CI/CD pipelines to enable continuous testing and faster delivery cycles.
Analyze test results, identify root causes of failures, and provide actionable feedback to development teams.
Mentor and guide other engineers on best practices for test automation and observability testing.
Drive quality initiatives across the platform, including test coverage metrics, automation metrics, and reporting.
Work with observability tools (logs, metrics, traces) to validate network behaviors and ensure platform reliability.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8+ years of experience in software testing, with at least 5 years in test automation.
Strong programming skills in languages such as Python, Java, or Go.
Experience with test automation frameworks (e.g., Selenium/Playwright, Pytest, Robot Framework, JUnit).
Experience with network technologies, protocols (TCP/IP, BGP, SNMP), and observability tools (Prometheus, Grafana, ELK).
Experience integrating tests with CI/CD pipelines (Jenkins, GitLab CI, or similar).
Strong analytical, debugging, and problem-solving skills.
Excellent communication skills and ability to influence quality practices across teams.

Test Automation Engineer – AI Network, Observability Platform

Key skills