Hybrid Lead, QA Engineer chez None

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Responsibilities :

• Lead products QA deliveries and report to QA manager for continuous feedback and improvement. Ensuring all development tasks meet quality criteria through test planning and automation planning.
• Work closely with the engineering team to understand product architecture and functionality to ensure the good quality features delivery.
• Work closely on the deadlines of the project and keep raising the bar, standards of all the quality processes on every release.
• Takes complete ownership of release deliverables along with multitasking and mentoring.
• Generate the QA artifacts like Test plan, test cases and test execution reports, release deployment guide etc.
• Identify, document, and track the defects. Collaborate with the development team to resolve issues.
• Prepare and configure test environments, including software installations and configurations.
• Conduct exploratory testing to find defects that might not be covered by test cases.
• Deploy the microservices application in Engineering environment. 
• Support the SRE team for the deployment of production releases.
• Improve processes for test plan reviews and ensure that that test plans get reviewed by all stakeholders. Review the Test Strategies and ensure the thoroughness of the test scenarios.
• Assist in troubleshooting customer issues and providing root cause analysis whenever needed. 
• Knowledge and experience in testing SAAS applications for scalability testing will be added advantage. 

Qualifications and Skills:

• Minimum 8+ years of experience in functional and automating testing of SAAS products and leading team of 3- 5 engineers.
• Must have experience on any public or private Cloud platform.
• Certification of AWS, Azure and GCP any of the Cloud is a big plus.
• Hands on experience in test automation of multi-tier Enterprise and/or Cloud, SaaS applications.
• Must have experience with microservices architecture using Kubernetes and Docker containers.
• Hands on experience of functional UI and API automation.
• Linux knowledge is must.
• Good to have experience on Kafka, Elasticsearch, Cassandra, Oracle DB.