{"id":3833675,"url":"https://alion.io/job/globus-systems-quality-assurance-engineer","title":"Quality Assurance Engineer","company":{"id":4442852,"name":"Globus Systems","domain":"globussystems.com","url":"https://alion.io/company/globus-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GraphQL","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Great Expectations","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2026-11-05T17:28:41Z","employer_posted_date":null,"last_verified_at":"2026-11-05T17:28:41Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Company: AA GLOBUSDIGITAL INDIA PRIVATE LIMITED\n\nAA GLOBUSDIGITAL INDIA PRIVATE LIMITED, is a wholly owned subsidiary of Globus Systems Inc US,\nGlobus Systems was founded by industry executives who have been part of the IT services industry for the past 20 years and have seen it evolve and mature. We understand the challenges faced by organizations as they prepare for the future. As a technology delivery company, we are focused on helping organizations lay a foundation for their Tomorrow-Roadmap.\nAt the heart of any business is the data that drives decisions. Data integrity and security are key drivers for growth. Smart and timely use of technology can help build, streamline and enable data driven decisions that become the backbone of an organization. Business leaders are constantly searching for new solutions, services and partners they can trust with enabling these drivers.\n\nRole: Quality Assurance Engineer\nLocation: PAN India\nNP: Immediate Joiners required\nExperience: 8 to 10 Years\nWork Mode: WFH\nCTC: Market Standard\n\nAbout the Role\nWe are looking for a highly skilled Quality Assurance Engineer who naturally works in an AI-\naugmented way. The ideal candidate is strong in QA fundamentals, experienced in building and\nmaintaining automation frameworks, and comfortable using AI tools to reason, debug, generate test\ncases, and accelerate delivery.\nResponsibilities\n Design, develop, and maintain automated test frameworks using Python.\nHands-on Playwright experiance\n Write and execute functional, regression, integration, and API tests.\n Use AI tools (Claude Code, ChatGPT, GitHub Copilot, etc.) to:\no generate test cases,\no debug issues faster,\no review code, and\no improve testing workflows.\n\n Collaborate closely with data engineers and product teams to validate marketing selections\nand data workflows.\n Perform QA for ETL/data pipelines, ensuring data accuracy, completeness, and reliability.\n Participate in peer reviews, contribute to QA best practices, and help establish automation\nstandards.\n Work with modern DevOps and CI/CD tools to integrate automated tests into pipelines.\nRequired Skills\n 8–10 years of experience in Software QA with strong automation background.\n Strong expertise in Python for writing automated tests.\n Hands-on experience building or maintaining automation frameworks (PyTest, Robot\nFramework, custom Python frameworks, or similar).\n Exposure to data quality testing and SQL-based validations.\n Experience testing APIs (REST/GraphQL) with tools like Postman, Python requests, or\nautomation libraries.\n Strong understanding of QA methodologies, test design techniques, and defect reporting.\n\n Must naturally work in an AI-augmented way, using AI tools daily for:\no test generation,\no debugging,\no code generation,\no documentation,\no analysis.\n Excellent communication and ability to collaborate with global teams.\n\nGood to Have (Bonus Skills)\n Experience working with dbt or other modern data transformation tools.\n Experience with Great Expectations or similar data validation frameworks.\n Familiarity with cloud environments (AWS/Azure/GCP).\n Experience with 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