Data Visualization Test Engineer

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Primary Responsibilities

• Analyze capability requirements and collaborate with technical leads, test managers, and Agile teams to ensure verifiable implementations.
• Define testable acceptance criteria in user stories and lead User Acceptance Testing (UAT) to validate stakeholder requirements.
• Create and maintain test documentation, including test plans, test data, test cases, acceptance criteria, and summary reports to support Kibana dashboards.
• Design and implement test strategies for data ingestion, processing, and visualizations in Kibana (React, JavaScript, HTML), including interface integration tests.
• Maintain and evolve the overall test strategy in alignment with best practices throughout the development lifecycle.
• Perform regression, integration, and verification and validation testing.
• Execute tests, troubleshoot issues, and manage defects through resolution using tools like Jira.
• Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and demos.
• Assist with identifying and supporting external dependencies where needed.
• Employ strong analytical and problem-solving skills in all testing activities.

Basic Qualifications

• Bachelors degree in a related discipline from an accredited college, or equivalent combination of education and experience; 812 years of professional experience, or 610 years with a related Masters degree.
• Must hold an active DoD Secret clearance.
• Active Security+ (or other 8570-compliant) certification, or ability to obtain within a short timeframe.
• 8+ years of experience in software testing, including 3+ years with the ELK stack (Kafka, Logstash, Elasticsearch, Kibana) focused on integration testing and visualization validation.
• Experience conducting User Acceptance Testing (UAT), including end-user engagement and validation.
• Hands-on experience with tools such as Kibana, Elasticsearch APIs, Jira, Confluence, and Git repositories.
• Proven experience working in Agile development environments as part of cross-functional, fast-paced technical teams.
• Experience with big data applications and distributed systems.
• Strong interpersonal and communication skills, with the ability to collaborate across technical and non-technical stakeholders.

Preferred Qualifications

• Experience with automated test frameworks (e.g., JUnit) and test automation tools such as Ansible.
• Experience with DevOps/DevSecOps practices including CI/CD, Infrastructure as Code (IaC), and Configuration as Code in AWS cloud environments.
• Skilled in automating test tooling and deployment pipelines across diverse AWS environments.
• Familiarity with Xray Test Management and other QA lifecycle tools.
• AWS Cloud certifications preferred.
• Understanding of network routing and device configurations.
• Strong background in testing open-source technologies and data processing systems