Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.
We are seeking a detail-oriented Software QA Engineer to join our distributed quality engineering team on a contract basis. Working remotely as part of our offshore team, you will ensure the quality of our web and mobile applications through a blend of manual and automated testing across UI, API, and AI-driven features. You will collaborate daily with onshore developers, product managers, and QA leads, so strong communication and the ability to work independently are essential.
Key Responsibilities
Design, develop, and execute test plans and test cases for UI and API functionality across web and mobile platforms
Build, maintain, and enhance automated test suites for regression, smoke, and end-to-end testing
Perform API testing (functional, integration, contract, and performance) using tools such as Postman, REST Assured, or similar
Develop and maintain UI automation frameworks using tools such as Selenium, Playwright, or Cypress
Test AI/ML-powered features, including validating model outputs, prompt behaviors, response accuracy, and edge cases for LLM-based functionality
Leverage AI-assisted testing tools to improve test coverage, generate test data, and accelerate test creation
Identify, document, and track defects through resolution using tools like Jira, with clear written reproduction steps
Provide daily status updates and participate in remote standups, sprint ceremonies, and handoffs with the onshore team
Contribute to CI/CD pipelines by integrating automated tests (e.g., Jenkins, GitHub Actions, GitLab CI)
Analyze test results, report on quality metrics, and proactively flag risks to onshore stakeholders
Required Skills & Qualifications
8–12 years of hands-on experience in software quality assurance
Strong experience in UI testing — both manual exploratory testing and automation (Selenium, Playwright, or Cypress)
Solid experience in API testing — REST/GraphQL, using Postman, REST Assured, Karate, or similar tools
Proven experience building or contributing to test automation frameworks in at least one programming language (Java, Python, JavaScript/TypeScript)
Exposure to AI testing — validating AI/ML or LLM-based features, understanding of non-deterministic testing challenges, or experience with AI-assisted QA tools
Familiarity with CI/CD pipelines and version control (Git)
Understanding of SDLC, STLC, and Agile methodologies
Excellent written and verbal English communication skills
Proven ability to work independently in a remote, distributed team with minimal supervision
Prior experience working with offshore/onshore delivery models or international clients
Work Arrangement & Requirements
Time zone overlap: Minimum 3–4 hours of daily overlap with US Central Time (CST/CDT) for standups, handoffs, and collaboration
Availability: Full-time dedicated engagement (40 hours/week); no concurrent client commitments during contracted hours
Equipment & connectivity: Reliable high-speed internet, own workstation meeting security requirements, and a quiet workspace for video calls
Security & compliance: Willingness to sign an NDA, comply with client data security policies, and use company-approved tools (VPN, VDI, access controls) for all work
Communication tools: Proficiency with Slack/Teams, Zoom/Google Meet, Jira, and Confluence for async and real-time collaboration
Nice to Have
Experience with ETL/data pipeline testing — validating data extraction, transformation, and loading processes, data quality checks, and source-to-target reconciliation
Experience with performance testing tools (JMeter, k6, Gatling)
Knowledge of containerization (Docker) and cloud platforms (AWS, Azure, GCP)
Experience testing prompt-based systems, chatbots, or generative AI applications
Familiarity with test management tools (TestRail, Zephyr, Xray)
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