Job Description

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.