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For Employers

QA Engineer

Domnic Lewis Pvt. Ltd

5 years

5 - 7 Lacs

chennai

Posted:3 hours ago| Platform: GlassDoor logo

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Skills Required

iot power test network engineering development automate software deployment automation regression testing audit combination scripting python flow networking routing switching tcp ip wan dhcp analyze virtualization vmware docker openstack aws azure gcp logging logstash elasticsearch kibana git jenkins ai analysis

Work Mode

On-site

Job Type

Part Time

Job Description

Job Description:
We are seeking a driven individual to join the Smart Building Cloud team within our IoT organization. The SBC/SERA team works to develop innovative smart building solutions that power the buildings of the future. As a QA Engineer with the SBC/SERA team, the individual will be tasked with designing and developing system test scenarios and cases for diverse set of network infrastructure and microservice applications for the Smart Building Cloud. The individual will work with multiple engineering teams to coordinate the development of these test scenarios. ESSENTIAL RESPONSIBILITIES

Understand, test, and automate key test cases for the

software-defined converged infrastructure product

Work with test leads/development/deployment teams, and product

managers to understand use cases and come up with test cases and
test scenarios

Be responsible for automation execution and regression testing on

product to ensure quality of solutions which will demonstrate
ability to inspect traffic, identify network issues, control, and audit traffic

Run system tests, performance tests and stress tests

DESIRED SKILLS AND EXPERIENCE

Strong analytical and problem-solving skills

5+ years of hands-on experience in

designing and developing test cases.

Experience/Interest must include a combination of:

Testing life cycle and QA activities, build systems, regression testing, test automation

Scripting with Python and Shell scripts

Experience User flow testing.

- Networking - Firewalls, Routing/Switching/VLANs, Proxies/ Load Balancers, TCP/IP, WAN & LAN Protocols, DHCP, DNS

Linux

Read and analyze network traces

- Virtualization and containers - VMware, Hyper-V, Docker, OpenStack - Cloud knowledge - AWS, Azure, GCP - Logging systems - Logstash, Elasticsearch, Kibana

Git, Jenkins, Jira

AI adoption in QA workflows—such as using tools for test

automation, defect prediction, and log analysis to improve
quality and efficiency—will be an added advantage EDUCATION

Bachelors or master’s degree in computer science or equivalent

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QA Engineer