Luxoft
Senior Test Engineer (Java + Python)
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
27 August 2026
What they need
Project Description:
As a Senior QA Engineer, you'll lead the testing strategy for your pod, ensuring reliable, scalable, and high-performing integration solutions. You'll drive test automation, leverage AI-assisted testing tools to improve efficiency and coverage, and coach mid-level QAs on modern quality engineering practices.
Responsibilities:
- Define and implement test strategies and plans for REST APIs and integration workflows
- Build, maintain, and enhance automated test frameworks for functional and regression testing
- Work closely with developers and BAs to ensure quality across Agile sprints
- Coach mid-level QAs on automation, AI-assisted testing, and best practices
- Lead defect triage, root cause analysis, and risk-based testing efforts
- Integrate automated tests into CI/CD pipelines to support continuous testing
- Leverage AI-assisted tools to accelerate test creation, debugging, and test data generation
- Promote adoption of AI-driven quality engineering practices within the team
Mandatory Skills Description:
- 8+ years of QA experience, including strong automation expertise
- Experience in financial services or with Loan IQ integrations preferred
Test Automation & Tools:
- Proficient in API testing using Postman, RestAssured, or SoapUI
- Hands-on experience with automation tools (e.g., Selenium, Cucumber, TestNG)
- Strong understanding of integration testing, regression testing, and performance validation
- Python Skill set for automation testing
DevOps & Integration:
- Familiar with CI/CD tools (e.g., Jenkins, GitLab) and integrating automated tests into pipelines
- Experience working in Agile environments and collaborating across pods
AI-Assisted Testing:
- Experience with AI-assisted testing tools and frameworks for test case generation and optimization
- Familiarity with using generative AI for:
o Automated test case creation
o Test script generation (UI and API)
o Debugging and defect analysis
o Test data generation and synthetic data creation - Understanding of intelligent test selection, self-healing test automation, and predictive defect detection
- Ability to apply AI tools responsibly to improve test coverage, speed, and quality while maintaining governance standards
Nice-to-Have Skills Description:
AI tools
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