Deloitte Consulting Services is hiring experienced QA professionals for the position of QA Automation Engineer (Python) – SDET II. This opportunity is ideal for software testers who want to strengthen their expertise in automation frameworks, Python programming, API testing, cloud-based applications, and CI/CD integration.
With openings listed across Hyderabad, Bengaluru, Chennai, and Pune, this role offers an opportunity to contribute to quality engineering for web applications and cloud-based analytics platforms while collaborating with Agile development teams.
🏢 About Deloitte
Deloitte is a global professional services organization providing consulting, technology, audit, tax, and related services to clients across multiple industries. Its consulting and technology teams help organizations modernize applications, improve business processes, and implement digital solutions.
For quality engineers, projects may involve enterprise applications, cloud platforms, analytics solutions, API integrations, and automation-driven testing. Project responsibilities depend on the business unit and client assignment.
📌 Job Overview
- Company: Deloitte Consulting Services
- Job Title: QA Automation Engineer (Python) – SDET II
- Job Requisition ID: 370550
- Experience Required: 2–5 years
- Locations: Hyderabad, Bengaluru, Chennai, Pune
- Primary Skills: Python, PyTest, Selenium, Playwright, API Testing, Automation Frameworks
- Additional Technologies: Robot Framework, Java/C#, Jenkins, Azure DevOps, AWS
- Testing Areas: UI, API, Backend, Regression, Smoke, Sanity, End-to-End
- Work Mode: Not specified in the supplied announcement; confirm with the recruiter
- Education: Bachelor’s degree
🎯 Why Is This Role Good for Experienced Professionals?
1. Grow into an SDET role: Professionals with manual and automation testing experience can deepen their programming, framework design, and engineering capabilities.
2. Build scalable automation frameworks: The responsibilities cover reusable UI and API automation, BDD, keyword-driven testing, and data-driven frameworks.
3. Gain CI/CD exposure: Working with Jenkins, Azure DevOps, or AWS-related services can help testers understand how automated tests support continuous integration and delivery.
4. Work across the application stack: The combination of UI, backend, API, and integration testing encourages broader technical understanding and better defect investigation.
5. Develop AI-assisted engineering skills: The announcement specifically mentions GitHub Copilot and generative AI coding assistants. Candidates can demonstrate how they use these tools responsibly to improve productivity while validating generated code.
6. Collaborate with cross-functional teams: Working with developers, product owners, and business stakeholders can strengthen communication, risk assessment, and quality ownership.
🛠️ Skills Required
- Python programming: Functions, collections, exception handling, modules, file handling, OOP, and writing maintainable automation code.
- PyTest: Fixtures, parametrization, assertions, markers, setup and teardown, reporting, and test organisation.
- Selenium and Playwright: Locators, waits, browser handling, page objects, dynamic elements, debugging, and flaky-test prevention.
- API automation: REST methods, status codes, headers, authentication, JSON validation, response assertions, and negative testing.
- Framework development: Reusable utilities, configuration management, test data handling, logging, reporting, and separation of test logic from implementation details.
- Testing fundamentals: Smoke, sanity, functional, regression, integration, and end-to-end testing.
- CI/CD integration: Understanding pipeline stages, automated execution, test reports, failure analysis, and environment configuration.
- Agile and collaboration: Sprint planning, defect tracking, requirement clarification, Jira, and Azure DevOps.
- Additional advantages: Java or C#, Robot Framework, AWS exposure, BDD, and experience testing cloud-based analytics applications.
💰 Expected Salary Range
- 2–3 years of experience: Approximately ₹6–12 LPA
- 4–5 years of experience: Approximately ₹10–18 LPA
🧠 Preparation Tips
- Practise Python coding daily: Revise strings, lists, dictionaries, sets, functions, OOP, exception handling, and common coding exercises. Explain your approach clearly rather than relying only on memorised solutions.
- Build a small PyTest framework: Include fixtures, parametrized tests, configuration, reusable utilities, logging, and test reports. Be ready to explain why you chose that structure.
- Compare Selenium and Playwright: Understand waits, locator strategies, browser contexts, parallel execution, test isolation, and ways to troubleshoot flaky tests.
- Prepare API automation examples: Demonstrate REST API tests with authentication, response validation, negative cases, and backend data verification.
- Understand CI/CD workflows: Explain how tests can run in Jenkins or Azure DevOps, how reports are published, and how failures are investigated.
- Practise cloud application scenarios: Consider access permissions, data consistency, service failures, API timeouts, and integration issues in cloud-hosted analytics applications.
- Prepare an AI-assisted coding example: Explain how GitHub Copilot can help generate test scaffolding or suggest edge cases, and how you review, test, and secure any generated code.
- Prepare real project stories: Describe an automation challenge, root cause, solution, and measurable improvement using genuine examples.
🧩 Expected Interview Rounds at Deloitte
- Recruiter screening: Experience, location preference, notice period, compensation expectations, and role fit.
- Technical assessment: Python or Java coding, testing fundamentals, and problem-solving.
- Automation interview: PyTest, Selenium or Playwright, framework architecture, API automation, and debugging.
- Project and scenario discussion: CI/CD, cloud applications, regression strategy, Agile delivery, and collaboration with developers.
- Managerial or HR discussion: Communication, ownership, learning ability, compensation, and joining timeline.
📄 Resume Tips
- Place Python, PyTest, Selenium/Playwright, API automation, and framework development near the top of your resume when these reflect your actual experience.
- Describe the automation framework you built or maintained, including design patterns, test organisation, reporting, and execution strategy.
- Include API and UI testing in project examples rather than listing tools without context.
- Quantify genuine achievements, such as regression execution time reduced, coverage increased, or repetitive manual effort eliminated.
- Mention Jenkins, Azure DevOps, AWS, and GitHub Copilot only if you can explain how you used them.
- Highlight defect investigation, root cause analysis, Agile collaboration, and improvements to test reliability.
📩 How to Apply
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Deloitte and request a referral—it can significantly enhance your visibility in the hiring process.
Apply using the application link in the original hiring announcement and search for QA Automation Engineer (Python) – SDET II, Job ID 370550. The announcement also invites referral requests through direct message with your updated resume and the requisition ID.
Final Thoughts: This role is well suited to QA professionals with 2–5 years of experience who want to combine Python programming, UI and API automation, framework development, and modern engineering practices. Focus your preparation on practical coding, framework design, CI/CD, and clear examples of solving real testing challenges.
