QA Automation Test Engineer(Python)

Job Description

Job Summary: Participate in the feature design and early development of software from a QA standpoint, in order to understand and prevent bugs from being developed into the software from its inception. Duties/Responsibilities: Establish hybrid cloud testbeds to connect subnets between on-premise network and a VPC in AWS / Azure / GCP cloud platform. Design, develop and fix automated test scripts using Python or Go for the Aviatrix enterprise cloud defined network software. Ensure that GUI and APIs are functional in each release by designing, developing, and performing automated testing in Python to reduce repeated manual testing in the same areas and increase overall test coverage. Improve the CI/CD pipeline by stabilizing regression tests, triaging regression failures, and categorizing them into different buckets. Follow up with development teams to resolve the issue. Monitor performance numbers in each release and benchmark performance for different cloud platforms against other competitors using completed testing script. Build and use lab environments to simulate and debug customer networking configurations (e.g., routers, firewalls). Perform live troubleshooting, log analysis, and issue reproduction, for customer QA issues. Required Skills/Abilities: Demonstrate independent ability to solve problems. Frequent use and application of basic technical standards, principles, theories, concepts and techniques. Provide solutions to a variety of technical problems of moderate scope and complexity. Effectively write automated tests to cover code development. Excellent verbal and written communication skills. Excellent interpersonal skills. Python or Go Minimum Requirements: Education: Bachelors degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Experience: Two (2)+ years of experience in the job offered or in a software engineering-related occupation. Skills: Minimum two years of experience required in each of the following skills: networking protocols and cloud native architectures; software defined networking and cloud networking; debugging of Linux networking stack; performance benchmarking and system testing; platform and infrastructure development and testing with high-speed networking protocols; distributed computing; object-oriented Python; Go; Git version control to maintain large software codebases