Globus Systems is hiring Quality Assurance Engineers in India! If you have strong experience in software QA, Python automation, API testing, SQL/data validation, and modern AI-assisted development, this opportunity could be a strong fit. The position is PAN India, Work From Home, and the hiring post specifically seeks candidates who can join immediately. The role focuses on automation, data quality, ETL validation, API testing, CI/CD, and practical use of AI tools such as ChatGPT, Claude Code, and GitHub Copilot.
📌 Globus Systems QA Engineer Job Details
- Company: Globus Systems / AA GlobusDigital India Private Limited
- Position: Quality Assurance Engineer
- Location: PAN India
- Work Mode: Work From Home
- Experience: 6–10 years mentioned in the supplied opening; the published LinkedIn version lists 5–8 years, so candidates should verify the applicable requirement before applying.
- Notice Period: Immediate Joiners preferred
- Salary: Market Standard
- Employment Type: Full-time
- Primary Skills: Python, PyTest, API Testing, SQL, ETL/Data Testing, AI-assisted testing, CI/CD
🏢 About Globus Systems
Globus Systems is a technology delivery company that works with organizations on technology modernization and their long-term digital roadmaps. The company describes data integrity and security as important drivers of business growth and focuses on technology solutions that support data-driven decision-making. AA GlobusDigital India Private Limited is the Indian subsidiary identified in the job posting; public company records show it as an active foreign private company incorporated in Bengaluru in 2023.
💼 Why Is This Role Good for Experienced QA Professionals?
This is more than a conventional automation testing position. The JD combines Python automation + API testing + data quality + ETL validation + CI/CD + AI-assisted engineering.
For an experienced QA professional, this combination can provide valuable exposure to modern Quality Engineering practices. Instead of concentrating only on UI automation, you would work closely with data engineers and product teams and validate data workflows, marketing selections, APIs, and ETL pipelines.
🛠️ Skills Required for This QA Position
Candidates should focus on these skills:
- 🐍 Python: Strong programming fundamentals and ability to create maintainable automation.
- 🧪 PyTest / Robot Framework: Framework development, fixtures, parametrization, assertions, reporting, and reusable utilities.
- 🔌 API Testing: REST/GraphQL testing using Postman, Python Requests, or automation libraries.
- 🗄️ SQL: Complex queries, joins, aggregations, data comparison, and backend validation.
- 🔄 ETL/Data Testing: Source-to-target validation, transformation verification, completeness, accuracy, and duplicate/null checks.
- 🤖 AI-Assisted QA: Practical use of ChatGPT, Claude Code, GitHub Copilot, or similar tools.
- ⚙️ CI/CD: Jenkins, GitHub Actions, or comparable pipeline technologies.
- ☁️ Cloud: AWS, Azure, or GCP exposure is an advantage.
- 📊 Data Quality: Great Expectations or similar validation frameworks.
- 🔧 Data Transformation: dbt experience is a bonus.
- 📝 QA Fundamentals: Test design, defect management, regression, integration, functional testing, and risk-based testing.
🎯 Expected Interview Rounds at Globus Systems
Round 1 – Recruiter/HR Screening: Expect questions about experience, current role, notice period, WFH readiness, compensation expectations, and availability.
Round 2 – Technical QA Interview: Be prepared for Python, PyTest, automation framework architecture, API testing, SQL, test strategy, debugging, and QA fundamentals.
Round 3 – Data & Automation Deep Dive: Expect scenario-based questions around ETL testing, source-to-target validation, data accuracy, API/database reconciliation, and designing automation for data workflows.
Round 4 – AI/Problem-Solving Discussion: Because AI-augmented QA is explicitly highlighted, you may be asked how you use AI tools to generate tests, investigate failures, review automation code, or improve QA productivity.
Round 5 – Manager/Client Discussion: This may focus on communication, ownership, collaboration with data engineers, working with global teams, and handling production-quality issues.
💰 Expected Salary Range
For a 6–10-year experienced QA/Automation professional in India with strong Python, API, SQL, data testing, and CI/CD capabilities, a reasonable market-oriented expectation could be approximately ₹10–18 LPA, with candidates having strong niche data-testing, cloud, and AI-assisted automation expertise potentially targeting higher compensation.
⚠️ This is an estimated market range, not a salary officially confirmed by Globus Systems. Candidates should confirm the compensation during the recruiter discussion.
📚 Preparation Tips
- Build a small PyTest framework with fixtures, parametrization, reusable utilities, logging, and HTML/Allure-style reporting.
- Practice writing Python functions for JSON comparison, API response validation, file processing, and database-result comparison.
- Prepare SQL queries involving JOIN, GROUP BY, HAVING, subqueries, CTEs, duplicate detection, NULL checks, and reconciliation.
- Practice an ETL scenario: explain how you would validate records from source → transformation → target.
- Prepare REST API scenarios involving authentication, status codes, headers, JSON schema validation, negative testing, and chained API calls.
- Demonstrate responsible AI usage: explain how you verify AI-generated test cases and code instead of blindly accepting AI output.
- Revise CI/CD concepts and be ready to explain how automated tests should run inside Jenkins or GitHub Actions.
- Prepare one real example where you identified a difficult defect through data, API, or automation investigation.
📄 Resume Tips
Your resume should immediately position you as a Python Automation / Quality Engineering professional, not simply a manual tester.
Use keywords naturally throughout the resume: Python, PyTest, Automation Framework, API Testing, REST, GraphQL, SQL, ETL Testing, Data Quality, Data Validation, CI/CD, Jenkins, GitHub Actions, AI-Assisted Testing, ChatGPT, GitHub Copilot, Test Automation, Regression Testing, Integration Testing, Defect Management, AWS/Azure/GCP, dbt, Great Expectations.
Instead of writing “Performed API testing,” use achievement-oriented statements such as: “Developed Python-based API automation covering functional, negative, regression, and data-validation scenarios.”
📝 How to Apply
Interested candidates can DM to Shilpa Prabhukumar and share updated resume if their experience matches the job requirements.
👉 Apply through the official LinkedIn job listing: Globus Systems – Quality Assurance Engineer
Before applying, verify the current experience requirement because the supplied vacancy says 6–10 years, while the indexed LinkedIn version lists 5–8 years.
⭐ Final Verdict
This opportunity is particularly attractive for experienced QA professionals who want to move beyond traditional UI automation. The combination of Python + PyTest + API + SQL + ETL/Data Quality + CI/CD + AI-assisted testing makes the position aligned with modern Quality Engineering.
🔔 Job seekers: Save this opportunity, update your resume with JD-relevant keywords, and prepare examples that demonstrate measurable automation and quality improvements.
