As a QA Engineer you will work as part of a team responsible for delivering high quality Networks software products for our client. Through the application of systematic test tools and processes you will help deliver reliable, innovative cloud infrastructure products. You will be part of a team that develops, modifies, and executes software test plans, analyzes and writes test standards and procedures, maintains documentation of results, automates test cases and works closely with development engineers in resolution of problems. This position requires an individual who is creative, team-oriented, a quick learner and driven to produce results.
As part of a team, the individual will be responsible for :-
Understanding test requirements and formulation of test cases
Developing, implementing and executing test plans
Contributing to test automation
Collecting comprehensive and relevant data for problem investigation
Participate in technical discussions
Willing to work on additional tasks and responsibilities that will contribute towards team, department, and company goals.
Background in QA including test planning, process, and QA methodology
Experience in software test planning, documentation and process improvement
Minimum 1 years of experience in TCP/IP and Networking
Minimum 1 years of programming experience in Python/Perl
Must be excellent in OOPs concepts and programming.
Good to have:
Good to have experience in large scale distributed system testing
Good to have experience in Kubernetes and Docker
Good to have experience with agile development, continuous integration and automated testing
Must possess good written and verbal communication skills
Education and Experience: BE/BTech or ME/MS/MTech or MCA with minimum 4 years of relevant experience.
Incedo is a US based consulting, analytics and technology services firm. We help our clients achieve competitive advantage through End-to-End Digital Transformation and work across Financial Services, Telecom, Life Science & Healthcare and Product Engineering sectors. Our uniqueness lies in bringing together strong engineering, data science and design capabilities with deep domain understanding, and blurring the boundaries between services and products to maximize business impact from emerging technologies.
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