Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We are seeking a talentedLead QA Engineerto deliver roadmap features of EnterpriseTruRiskPlatform which would help customers to Measure, Communicate and Eliminate Cyber Risks.
TheLead QA Engineerwill design, implement,document,andmaintaintestingframeworks. You willbe responsible forthe quality of core product capabilitiesusingmicro-services and Big Data basedcomponents.
This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day,leverageopen-source technologies, and work on challenging and business-impacting initiatives.
- Perform functional testing of the EnterpriseTruRiskPlatform and its various modules.
Perform functional testing of the EnterpriseTruRiskPlatform and its various modules.
- Conduct integration testing across different systems, working closely with cross-functional teams to ensure seamless data and service flow.
Conduct integration testing across different systems, working closely with cross-functional teams to ensure seamless data and service flow.
- Test Big Data ingestion and aggregation pipelines using Spark shell, SQL, and other data tools.
Test Big Data ingestion and aggregation pipelines using Spark shell, SQL, and other data tools.
- Develop andmaintainautomation frameworks for functional and regression testing.
Develop andmaintainautomation frameworks for functional and regression testing.
- Own and execute end-to-end workflow automation using custom or industry-standard frameworks.
Own and execute end-to-end workflow automation using custom or industry-standard frameworks.
- Define test strategies, test plans, and test cases for new features, platform enhancements, and services.
Define test strategies, test plans, and test cases for new features, platform enhancements, and services.
- Debug and troubleshoot issuesidentifiedin pre-production or production environments.
Debug and troubleshoot issuesidentifiedin pre-production or production environments.
- Drive system and performance testing of the platform and data applications.
Drive system and performance testing of the platform and data applications.
- Define operational procedures, service monitors, and alerting mechanisms, and coordinate implementation with the NOC team.
Define operational procedures, service monitors, and alerting mechanisms, and coordinate implementation with the NOC team.
- Collaborate with product and engineering teams to review requirements, specifications, and technical designs, and ensure proper test coverage.
Collaborate with product and engineering teams to review requirements, specifications, and technical designs, and ensure proper test coverage.
- Recreate complex production/customer issues to verify root causes and ensure resolution.
Recreate complex production/customer issues to verify root causes and ensure resolution.
- Identifytechnical interdependencies, potential issues, and propose effective solutions.
Identifytechnical interdependencies, potential issues, and propose effective solutions.
- 8-10 years of experience in the full-timeFunctionaltesting& Automationrole as lead.
8-10 years of experience in the full-timeFunctionaltesting& Automationrole as lead.
- Hands on experience in automating backend applications (e.g., database, REST API's).
Hands on experience in automating backend applications (e.g., database, REST API's).
- Hands on experience with automating any backend applications (e.g., database, server side).
Hands on experience with automating any backend applications (e.g., database, server side).
- Knowledge of relational databases and SQL.
Knowledge of relational databases and SQL.
- Good debugging skills.
Good debugging skills.
- Working experience working in Linux/Unix environment.
Working experience working in Linux/Unix environment.
- Good understanding of testing methodologies.
Good understanding of testing methodologies.
- Goodto have hands on experience in working on Big Data technologies like Hadoop, Spark,Airflow,Kafka,Elasticand other distributed components.
Goodto have hands on experience in working on Big Data technologies like Hadoop, Spark,Airflow,Kafka,Elasticand other distributed components.
- Experience in Security domain is an advantage.
Experience in Security domain is an advantage.