Qa Automation Lead

Tekskills Inc.; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tekskills Inc. in Mumbai is seeking a QA Engineer with strong Python skills. Java familiarity is a bonus.

The role emphasizes AI-enabled testing, GenAI or agentic solutions, and building/test frameworks that run in a pipeline. Strong SQL abilities are expected, along with the ability to navigate a complex, established landscape and accelerate through legacy processes to enable AI-powered automation. Applicants should demonstrate practical experience in fast learning environments, taking

Responsibilities

• QA Engineer strong in Python, with Java familiarity a bonus
• AI experience - where relevant and shows inventive & genuinely useful use of GenAI or agentic solutions
• Experience building test frameworks running on a pipeline
• Decent SQL skills
• Especially keen to hear how they have worked in a complex, established landscape - how do they handle it when there is massive amounts to learn and need to get up to speed fast
• Describe cases where they have stepped in and taken over testing for an area, in this case a specific region/region
• Good quality engineering talent who isn't afraid to deal with the legacy manual processes to accelerate AI-powered automation process
• Work hard to learn what's needed and then engineer their way out of problems.

Job description

Role & responsibilities

• QA Engineer strong in python, with Java familiarity a bonus
• AI experience - where relevant and shows inventive & genuinely useful use of GenAI or agentic solutions.
• Experience building test frameworks running on a pipeline.
• Decent SQL skills.
• Especially keen to hear how they have worked in a complex, established landscape - how do they handle it when there is massive amounts to learn and need to get up to speed fast.
• Describe cases where they have stepped in and taken over testing for an area, in this case a specific region/region.
• Good quality engineering talent who isn't afraid to deal with the legacy manual processes to accelerate AI-powered automation process.
• Work hard to learn what's needed and then engineer their way out of problems.