We are seeking a focused, technical Quality Analyst (Junior to Mid-Level) to manage enterprise data infrastructure testing and deliver clean, actionable quality metrics pipelines. In this role, you will bridge the gap between raw data systems and business operations by developing scalable test solutions, optimizing defect verification performance, and ensuring high data integrity across our consulting and IT practices.
Role: Quality Analyst (Junior to Mid-Level)
Location: Connecticut (Onsite/Hybrid/Remote)
Eligibility: US Citizens, Green Card Holders, or H4 EAD only (No C2C)
Full-Lifecycle Software Testing: Design, develop, execute, and deploy robust manual and automated test scripts across desktop, web, or mobile software applications from concept to production.
System Troubleshooting & Defect Tracking: Troubleshoot, debug, and log legacy codebase bugs and software system defects to eliminate runtime operational bottlenecks.
Code Optimization & Test Scalability: Refactor test frameworks and monitor system workloads to ensure peak software quality, rigorous boundary value validation, and cross-platform regression scalability.
Test Planning & Documentation: Write clean, modular, and well-documented test cases, plans, and traceability matrices while maintaining clean defect lifecycle reporting.
Agile Integration & Collaboration: Partner with cross-functional engineering squads, development, and product teams to execute quality deliverables seamlessly within Agile/Scrum project sprints.
Technical Skills & Qualifications:
Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical track.
Cloud & Infrastructure Literacy: Hands-on experience or practical familiarity validating applications deployed within cloud environments (AWS, Azure, or GCP).
Methodologies & SDLC: Strong command of the complete Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC) principles, and Agile/Scrum methodologies.
Languages & Tooling: Proficiency in core automation scripting languages (such as Java, C#, C++, or Python) alongside mastery of test management and version control tools like Jira, Xray, and Git.
Core Competencies: Exceptional root-cause analysis, black-box testing problem-solving, structural code validation aptitude, and strong technical communication skills.