Qa Lead
1 week ago
We are seeking a dynamic and technically proficient to assist in testing, validating, and debugging automation workflows, ensuring that orchestration logic is fully compliant with existing NetP provisioning rules. This role will focus on functional validation, API testing, and troubleshooting service activation issues.
Key Responsibilities:
- Execute functional, regression, and integration tests for ONAP-based automation.
- Perform functional testing of service activation, rollback, and error handling.
- Conduct unit, integration, and regression tests to ensure workflow reliability.
- Debug provisioning issues by analyzing API logs, Cramer inventory data, and service activation responses.
- Maintain test documentation, including test plans, bug reports, and supplier feedback logs.
- Assist in automating validation scripts for recurring test cases.
- Provide support during UAT and production rollout phases.
- Qualifications and Skills:
- 2-5 years in software and application testing, API validation, or network service provisioning.
- Experience in NetP provisioning, Cramer inventory validation, and OSS workflows.
- Hands-on experience with API testing tools (Postman, SoapUI, etc..).
- Experience with automated test frameworks (Robot Framework, etc...)
- Basic scripting knowledge (Python, Shell, or Java) for test automation.
- Strong troubleshooting skills for network provisioning failures.
- Proficient in software testing methodologies with knowledge of CI/CD integration.
- Expertise in QA Automation with hands-on experience in tools and frameworks like Robot Framework.
- Proficient in scripting and automation using Python.
- Experience with Agile development (Scrum), JIRA, and test case management tools.
- Strong verbal and written communication skills.
- Ability to collaborate on test automation and requirements validation.
- Motivated, goal-oriented, with strong attention to detail and quality assurance principles.
- Familiarity with open-source platforms like Grafana, Prometheus, and Zabbix.
- Basic knowledge of Kubernetes
- Strong communication and collaboration skills
- Analytical thinking and problem-solving abilities
- Ability to work under pressure and meet deadlines
- Attention to detail and quality orientation
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