Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We are seeking a talented Sr. QA Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks.
The Lead QA Engineer will design, implement, document, and maintain testing frameworks. You will be responsible for the quality of core product capabilities using micro-services and Big Data based components.
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, leverage open-source technologies, and work on challenging and business-impacting initiatives.
Responsibilities:
Perform functional testing of the Enterprise TruRisk Platform and its various modules.
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.
Develop and maintain automation frameworks for functional and regression testing.
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.
Debug and troubleshoot issues identified in pre-production or production environments.
Drive system performance testing of the platform and data applications.
Define operational procedures, service monitors, 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.
Recreate complex production/customer issues to verify root causes and ensure resolution.
Identify technical interdependencies, potential issues, and propose effective solutions.
Requirements:
6 years of experience in the full-time Functional testing & Automation role as lead.
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).
Knowledge of relational databases and SQL.
Good debugging skills.
Working experience working in Linux/Unix environment.
Good understanding of testing methodologies.
Good to have hands-on experience in working on Big Data technologies like Hadoop, Spark, Airflow, Kafka, Elastic and other distributed components.
Experience in the Security domain is an advantage.
