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Job Title


Senior QA Automation Engineer - Capital Markets (Python & C )


Company : IntelliVie AI


Location : Hyderabad, Telangana


Created : 2026-01-31


Job Type : Full Time


Job Description

Responsibilities:- Contribute to the full test life-cycle, including analysis & design, implementation, test execution, and release processes - Application of proven QA techniques and experience working with teams to fully understand requirements to develop appropriate test methods and cases - Execute tests and report on testing outcomes of functional and non-functional testing - Following direction from Manager and achieving defined goals - Self-management of tasks and projects to agreed deadlines - Developing knowledge of the trading systems domain and company products - Work with cross-functional team members to advise and ensure appropriate QA occurs - Strong client focus, with an emphasis on quality and stability in line with service level agreementsPreferred Qualifications:- 5+ years of experience in software engineering and/or quality assurance - 5+ years of experience in software development and test automation - 5+ years Python and/or shell scripting experience - Nice to have C++ programming experience - Experience with other programming/scripting languages a plus - Experience with continuous integration / continuous delivery highly desired - Experience with test automation highly desired - Experience with containerization and orchestration highly desired - Excellent communication (written and verbal), interpersonal, and organizational skills - Capital-markets and/or Financial Services knowledge (Trading, Market Data, protocols) desired - Cross-platform experience (Linux and Microsoft Windows) desired - Experience with financial, transactional, or message-based (e.g., FIX, FIXFAST, SBE) systems desired - Practical Agile development knowledge and experience a plusEducation:- The position requires a bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a closely related field, or a foreign equivalent degree